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For: Jain S, Nehra M, Kumar R, Dilbaghi N, Hu T, Kumar S, Kaushik A, Li CZ. Internet of medical things (IoMT)-integrated biosensors for point-of-care testing of infectious diseases. Biosens Bioelectron 2021;179:113074. [PMID: 33596516 DOI: 10.1016/j.bios.2021.113074] [Cited by in Crossref: 93] [Cited by in F6Publishing: 101] [Article Influence: 93.0] [Reference Citation Analysis]
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18 Duan Q, Rane D, Uddin Z. The Path of Rural Industry Revitalization Based on Improved Genetic Algorithm in the Internet Era. Computational Intelligence and Neuroscience 2022;2022:1-10. [DOI: 10.1155/2022/1632224] [Reference Citation Analysis]
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20 Wang Z, Wang M, Chen Y, Hu F, Cao W. Performance Optimization of Surface Plasmon Resonance Imaging Sensor Network Based on the Multi-Objective Optimization Algorithm. Computational Intelligence and Neuroscience 2022;2022:1-9. [DOI: 10.1155/2022/3692984] [Reference Citation Analysis]
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22 Manickam P, Mariappan SA, Murugesan SM, Hansda S, Kaushik A, Shinde R, Thipperudraswamy SP. Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare. Biosensors (Basel) 2022;12:562. [PMID: 35892459 DOI: 10.3390/bios12080562] [Cited by in Crossref: 4] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
23 Sugadev M, Rayen SJ, Harirajkumar J, Rathi R, Anitha G, Ramesh S, Ramaswamy K, Bhardwaj A. Implementation of Combined Machine Learning with the Big Data Model in IoMT Systems for the Prediction of Network Resource Consumption and Improving the Data Delivery. Computational Intelligence and Neuroscience 2022;2022:1-12. [DOI: 10.1155/2022/6510934] [Reference Citation Analysis]
24 Srivastava J, Routray S, Ahmad S, Waris MM, Asghar MZ. Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress. Computational Intelligence and Neuroscience 2022;2022:1-17. [DOI: 10.1155/2022/7218113] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
25 Chen S, Tseng C, Huang K, Chang Y, Fu L. Microfluidic Sliding Paper-Based Device for Point-of-Care Determination of Albumin-to-Creatine Ratio in Human Urine. Biosensors 2022;12:496. [DOI: 10.3390/bios12070496] [Reference Citation Analysis]
26 Nehra M, Kumar V, Kumar R, Dilbaghi N, Kumar S. Current Scenario of Pathogen Detection Techniques in Agro-Food Sector. Biosensors (Basel) 2022;12:489. [PMID: 35884292 DOI: 10.3390/bios12070489] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
27 Zhang T, Ding F, Yang Y, Zhao G, Zhang C, Wang R, Huang X. Research Progress and Future Trends of Microfluidic Paper-Based Analytical Devices in In-Vitro Diagnosis. Biosensors 2022;12:485. [DOI: 10.3390/bios12070485] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
28 Islam MK, Kaushal C, Amin MA, Algarni AD, Alturki N, Soliman NF, Mansour RF, Teekaraman Y. A Secure Framework toward IoMT-Assisted Data Collection, Modeling, and Classification for Intelligent Dermatology Healthcare Services. Contrast Media & Molecular Imaging 2022;2022:1-18. [DOI: 10.1155/2022/6805460] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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32 Zhang C, Zhang J, Mukherjee A. Three-Way Group Decisions with Incomplete Spherical Fuzzy Information for Treating Parkinson’s Disease Using IoMT Devices. Wireless Communications and Mobile Computing 2022;2022:1-13. [DOI: 10.1155/2022/9642617] [Reference Citation Analysis]
33 Li H, Wu P, Zeng N, Liu Y, Alsaadi FE. A survey on parameter identification, state estimation and data analytics for lateral flow immunoassay: from systems science perspective. International Journal of Systems Science. [DOI: 10.1080/00207721.2022.2083262] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
34 Ghafouri T, Manavizadeh N. Design and simulation of a millifluidic device for differential detection of SARS-CoV-2 and H1N1 based on triboelectricity. Bioelectrochemistry 2022;145:108096. [DOI: 10.1016/j.bioelechem.2022.108096] [Reference Citation Analysis]
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36 Gwiazda M, Kaushik A, Chlanda A, Kijeńska-gawrońska E, Jagiełło J, Kowiorski K, Lipińska L, Święszkowski W, Bhardwaj SK. A flexible immunosensor based on the electrochemically rGO with Au SAM using half-antibody for collagen type I sensing. Applied Surface Science Advances 2022;9:100258. [DOI: 10.1016/j.apsadv.2022.100258] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
37 Mahari S, Gandhi S. Recent Advances in Electrochemical Biosensors for the Detection of Salmonellosis: Current Prospective and Challenges. Biosensors (Basel) 2022;12:365. [PMID: 35735514 DOI: 10.3390/bios12060365] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
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39 Mahmud N, Anik MI, Hossain MK, Khan MI, Uddin S, Ashrafuzzaman M, Rahaman MM. Advances in Nanomaterial-Based Platforms to Combat COVID-19: Diagnostics, Preventions, Therapeutics, and Vaccine Developments. ACS Appl Bio Mater 2022. [PMID: 35583460 DOI: 10.1021/acsabm.2c00123] [Cited by in Crossref: 3] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
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42 Naikoo GA, Arshad F, Hassan IU, Awan T, Salim H, Pedram MZ, Ahmed W, Patel V, Karakoti AS, Vinu A. Nanomaterials-based sensors for the detection of COVID-19: A review. Bioeng Transl Med 2022;:e10305. [PMID: 35599642 DOI: 10.1002/btm2.10305] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
43 Das CM, Guo Y, Poenar DP, Ramaswamy Y, Xiong J, Yin M, Yong K. In-Depth Conceptual Study of an Enhanced Plasmonic Sensing System Using Antireflective Coatings and Perovskites for the Detection of Infectious Viral Antigens. ACS Appl Electron Mater 2022;4:1732-40. [DOI: 10.1021/acsaelm.2c00017] [Reference Citation Analysis]
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46 Madhu S, Ramasamy S, Magudeeswaran V, Manickam P, Nagamony P, Chinnuswamy V. SnO2 nanoflakes deposited carbon yarn-based electrochemical immunosensor towards cortisol measurement. J Nanostruct Chem. [DOI: 10.1007/s40097-022-00486-1] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
47 Kabay G, DeCastro J, Altay A, Smith K, Lu HW, Capossela AM, Moarefian M, Aran K, Dincer C. Emerging Biosensing Technologies for the Diagnostics of Viral Infectious Diseases. Adv Mater 2022;:e2201085. [PMID: 35288985 DOI: 10.1002/adma.202201085] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
48 Xiao Y, Li S, Pang Z, Wan C, Li L, Yuan H, Hong X, Du W, Feng X, Li Y, Chen P, Liu BF. Multi-reagents dispensing centrifugal microfluidics for point-of-care testing. Biosens Bioelectron 2022;206:114130. [PMID: 35245866 DOI: 10.1016/j.bios.2022.114130] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
49 Schary W, Paskali F, Rentschler S, Ruppert C, Wagner GE, Steinmetz I, Deigner H, Kohl M. Open-Source, Adaptable, All-in-One Smartphone-Based System for Quantitative Analysis of Point-of-Care Diagnostics. Diagnostics 2022;12:589. [DOI: 10.3390/diagnostics12030589] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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52 Haghayegh F, Salahandish R, Hassani M, Sanati-Nezhad A. Highly Stable Buffer-Based Zinc Oxide/Reduced Graphene Oxide Nanosurface Chemistry for Rapid Immunosensing of SARS-CoV-2 Antigens. ACS Appl Mater Interfaces 2022. [PMID: 35172574 DOI: 10.1021/acsami.1c24475] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 12.0] [Reference Citation Analysis]
53 Dubey AK, Kumar Gupta V, Kujawska M, Orive G, Kim N, Li C, Kumar Mishra Y, Kaushik A. Exploring nano-enabled CRISPR-Cas-powered strategies for efficient diagnostics and treatment of infectious diseases. J Nanostruct Chem. [DOI: 10.1007/s40097-022-00472-7] [Cited by in Crossref: 10] [Cited by in F6Publishing: 7] [Article Influence: 10.0] [Reference Citation Analysis]
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56 Kumar Sharma P, Ruotolo A, Khan R, Mishra YK, Kumar Kaushik N, Kim N, Kumar Kaushik A. Perspectives on 2D-borophene flatland for smart bio-sensing. Materials Letters 2022;308:131089. [DOI: 10.1016/j.matlet.2021.131089] [Cited by in Crossref: 24] [Cited by in F6Publishing: 25] [Article Influence: 24.0] [Reference Citation Analysis]
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60 Hashmi A, Nayak V, Singh KRB, Jain B, Baid M, Alexis F, Singh AK. Potentialities of graphene and its allied derivatives to combat against SARS-CoV-2 infection. Mater Today Adv 2022;:100208. [PMID: 35039802 DOI: 10.1016/j.mtadv.2022.100208] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 10.0] [Reference Citation Analysis]
61 Gui Y, Qiu J, Wang G, Khan R. Analysis of Cardiovascular Disease Angiography Process Based on Rough Set and Internet of Things. Journal of Healthcare Engineering 2022;2022:1-8. [DOI: 10.1155/2022/4123437] [Reference Citation Analysis]
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63 Yeh C, Feng G, Wang Y. Smart Tape For Monitoring Human Joint Motion and Sweat with Unique Stiffness Design of Piezoelectric Sensing Mechanisim in Stretching and Bending Motion. 2022 IEEE 35th International Conference on Micro Electro Mechanical Systems Conference (MEMS) 2022. [DOI: 10.1109/mems51670.2022.9699657] [Reference Citation Analysis]
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66 Viveka S, Sudha M. A comprehensive review of architecture, classification, challenges, and future of the Internet of Medical Things (IoMTs). Med J Babylon 2022;19:311. [DOI: 10.4103/mjbl.mjbl_5_22] [Reference Citation Analysis]
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