Tanvir Alam

5.2k total citations · 2 hit papers
115 papers, 1.8k citations indexed

About

Tanvir Alam is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Health Information Management. According to data from OpenAlex, Tanvir Alam has authored 115 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 27 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Health Information Management. Recurrent topics in Tanvir Alam's work include Artificial Intelligence in Healthcare (14 papers), Machine Learning in Bioinformatics (12 papers) and Retinal Imaging and Analysis (12 papers). Tanvir Alam is often cited by papers focused on Artificial Intelligence in Healthcare (14 papers), Machine Learning in Bioinformatics (12 papers) and Retinal Imaging and Analysis (12 papers). Tanvir Alam collaborates with scholars based in Qatar, United States and Pakistan. Tanvir Alam's co-authors include Mowafa Househ, Zubair Shah, Rizwan Qureshi, Hamada R. H. Al-Absi, Vladimir B. Bajić, Mohammad Tariqul Islam, Leonard Lipovich, Muhammad Arif, Sebastian Schmeier and Alaa Abd‐Alrazaq and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Tanvir Alam

102 papers receiving 1.7k citations

Hit Papers

AI in drug discovery and its clinical relevance 2023 2026 2024 2025 2023 2023 40 80 120
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. AI in drug discovery and its clinical relevance
    2023 125 citations Rizwan Qureshi, Muhammad Irfan et al. Heliyon profile →
  2. Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
    2023 92 citations Muhammad Arif, Tanvir Alam et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tanvir Alam Qatar 24 566 436 260 236 184 115 1.8k
Tim Hulsen Netherlands 12 954 1.7× 113 0.3× 140 0.5× 185 0.8× 119 0.6× 28 1.9k
Erping Long China 18 400 0.7× 489 1.1× 138 0.5× 142 0.6× 137 0.7× 63 2.1k
Maxwell W. Libbrecht Canada 12 905 1.6× 101 0.2× 122 0.5× 280 1.2× 66 0.4× 29 1.7k
Wei Shao China 24 487 0.9× 528 1.2× 154 0.6× 547 2.3× 49 0.3× 105 1.8k
Davide Cirillo Spain 18 826 1.5× 124 0.3× 211 0.8× 139 0.6× 159 0.9× 35 1.5k
Gaurav Pandey United States 25 841 1.5× 266 0.6× 54 0.2× 323 1.4× 39 0.2× 110 2.4k
Aimilios Lallas Greece 40 743 1.3× 227 0.5× 134 0.5× 671 2.8× 234 1.3× 327 6.5k
Dongxiao Zhu United States 22 1.2k 2.1× 237 0.5× 149 0.6× 353 1.5× 87 0.5× 101 2.1k
Xiaowei Zhan United States 24 1.2k 2.1× 363 0.8× 315 1.2× 393 1.7× 79 0.4× 75 2.6k
Karl E. Misulis United States 11 242 0.4× 198 0.5× 51 0.2× 184 0.8× 303 1.6× 29 1.2k

Countries citing papers authored by Tanvir Alam

Since Specialization
Citations

This map shows the geographic impact of Tanvir Alam's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tanvir Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanvir Alam more than expected).

Fields of papers citing papers by Tanvir Alam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanvir Alam. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tanvir Alam. The network helps show where Tanvir Alam may publish in the future.

Co-authorship network of co-authors of Tanvir Alam

This figure shows the co-authorship network connecting the top 25 collaborators of Tanvir Alam. A scholar is included among the top collaborators of Tanvir Alam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tanvir Alam. Tanvir Alam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Al-Absi, Hamada R. H., et al.. (2025). A pilot study on diabetes detection using handheld fundus camera and mobile app development. Discover Applied Sciences. 7(2).
2.
Zhang, Hongqi, Haixia Zhang, Muhammad Arif, et al.. (2025). PCBert-Kla: an efficient prediction method for lysine lactylation sites based on ProtBert and fusion of physicochemical features. Briefings in Bioinformatics. 26(6).
3.
Fthenou, Eleni, et al.. (2025). Machine learning based model for the early detection of Gestational Diabetes Mellitus. BMC Medical Informatics and Decision Making. 25(1). 130–130. 3 indexed citations
4.
5.
Hadi, Muhammad Usman, Kamaluddeen Usman Danyaro, Alawi Alqushaibi, Rizwan Qureshi, & Tanvir Alam. (2024). Digital Predistortion Based Experimental Evaluation of Optimized Recurrent Neural Network for 5G Analog Radio Over Fiber Links. IEEE Access. 12. 19765–19777. 3 indexed citations
6.
7.
Alzubaidi, Mahmood, et al.. (2023). The Pros and Cons of Using ChatGPT in Medical Education: A Scoping Review. Studies in health technology and informatics. 305. 644–647. 74 indexed citations
8.
Hussain, Tariq, Zulfiqar Ali Memon, Rizwan Qureshi, & Tanvir Alam. (2023). EMO-MoviNet: Enhancing Action Recognition in Videos with EvoNorm, Mish Activation, and Optimal Frame Selection for Efficient Mobile Deployment. Sensors. 23(19). 8106–8106. 2 indexed citations
9.
Qureshi, Rizwan, Muhammad Irfan, Taimoor Muzaffar Gondal, et al.. (2023). AI in drug discovery and its clinical relevance. Heliyon. 9(7). e17575–e17575. 125 indexed citations breakdown →
10.
Qureshi, Rizwan, Muhammad Irfan, Hazrat Ali, et al.. (2023). Artificial Intelligence and Biosensors in Healthcare and Its Clinical Relevance: A Review. IEEE Access. 11. 61600–61620. 73 indexed citations
11.
Salem, Ahmed, et al.. (2023). Using AI for Detection, Prediction and Classification of Retinal Detachment. Studies in health technology and informatics. 305. 636–639. 1 indexed citations
12.
Bejaoui, Yosra, Noha A. Yousri, Junko Oshima, et al.. (2022). DNA methylation signatures in Blood DNA of Hutchinson–Gilford Progeria syndrome. Aging Cell. 21(2). e13555–e13555. 20 indexed citations
13.
Khandakar, Amith, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, et al.. (2022). Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques. Sensors. 22(5). 1793–1793. 28 indexed citations
14.
Qureshi, Rizwan, Bin Zou, Tanvir Alam, et al.. (2022). Computational Methods for the Analysis and Prediction of EGFR-Mutated Lung Cancer Drug Resistance: Recent Advances in Drug Design, Challenges and Future Prospects. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(1). 238–255. 35 indexed citations
15.
Tamgue, Ousman, Mumin Ozturk, Stanley Kimbung Mbandi, et al.. (2022). Host-Directed Targeting of LincRNA-MIR99AHG Suppresses Intracellular Growth of Mycobacterium tuberculosis. Nucleic Acid Therapeutics. 32(5). 421–437. 12 indexed citations
16.
Hur, Jin & Tanvir Alam. (2020). Motor Vibration Analysis for the Fault Diagnosis in Nonstationary Operating Conditions. International Journal of Sustainable Construction Engineering and Technology (Universiti Tun Hussein Onn Malaysia). 6 indexed citations
17.
Al-Absi, Hamada R. H., et al.. (2020). Cardiovascular Diseases in Qatar: Smoking, Food Habits and Physical Activities Perspectives. Studies in health technology and informatics. 272. 465–469. 2 indexed citations
18.
Shah, Uzair, et al.. (2020). An Efficient Method to Predict Pneumonia from Chest X-Rays Using Deep Learning Approach. Studies in health technology and informatics. 272. 457–460. 22 indexed citations
19.
Alam, Tanvir, Meshari Alazmi, Afaque A. Momin, et al.. (2019). Proteome-level assessment of origin, prevalence and function of leucine-aspartic acid (LD) motifs. Bioinformatics. 36(4). 1121–1128. 8 indexed citations
20.
Alam, Tanvir, et al.. (2019). DeepDSSR: Deep Learning Structure for Human Donor Splice Sites Recognition. Studies in health technology and informatics. 262. 236–239. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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