Mohammed Yeasin

3.7k total citations · 1 hit paper
107 papers, 1.8k citations indexed

About

Mohammed Yeasin is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Human-Computer Interaction. According to data from OpenAlex, Mohammed Yeasin has authored 107 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 39 papers in Cognitive Neuroscience and 24 papers in Human-Computer Interaction. Recurrent topics in Mohammed Yeasin's work include EEG and Brain-Computer Interfaces (15 papers), Tactile and Sensory Interactions (15 papers) and Bioinformatics and Genomic Networks (12 papers). Mohammed Yeasin is often cited by papers focused on EEG and Brain-Computer Interfaces (15 papers), Tactile and Sensory Interactions (15 papers) and Bioinformatics and Genomic Networks (12 papers). Mohammed Yeasin collaborates with scholars based in United States, India and Canada. Mohammed Yeasin's co-authors include Rajeev Sharma, Subhasis Chaudhuri, Gavin M. Bidelman, Rajeev Sharma, Rajeev Sharma, Pouya Bashivan, Gahangir Hossain, Asifullah Khan, Maqsood Hayat and Jahangheer Shaik and has published in prestigious journals such as Proceedings of the IEEE, Annals of Neurology and Scientific Reports.

In The Last Decade

Mohammed Yeasin

103 papers receiving 1.7k citations

Hit Papers

Eigen-CAM: Class Activation Map using Principal Components 2020 2026 2022 2024 2020 50 100 150 200 250
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. Eigen-CAM: Class Activation Map using Principal Components
    2020 251 citations Mohammed Yeasin 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
Mohammed Yeasin United States 21 612 485 406 309 251 107 1.8k
Bertram E. Shi Hong Kong 25 1.2k 1.9× 818 1.7× 726 1.8× 312 1.0× 161 0.6× 193 2.8k
Hyung-Jeong Yang South Korea 26 1.1k 1.8× 255 0.5× 833 2.1× 210 0.7× 522 2.1× 190 2.8k
Jim Tørresen Norway 26 700 1.1× 249 0.5× 739 1.8× 118 0.4× 362 1.4× 211 2.7k
Yong Peng China 25 582 1.0× 685 1.4× 589 1.5× 182 0.6× 524 2.1× 137 2.0k
Gyanendra K. Verma India 14 482 0.8× 340 0.7× 399 1.0× 108 0.3× 326 1.3× 37 1.6k
Yizhang Jiang China 25 740 1.2× 485 1.0× 989 2.4× 78 0.3× 228 0.9× 103 2.3k
Zhongmin Wang China 25 659 1.1× 462 1.0× 424 1.0× 75 0.2× 495 2.0× 132 2.6k
Zheru Chi Hong Kong 32 1.6k 2.7× 249 0.5× 811 2.0× 251 0.8× 314 1.3× 170 3.2k
Soo-Hyung Kim South Korea 25 972 1.6× 183 0.4× 597 1.5× 209 0.7× 503 2.0× 232 2.3k
Chao Wu China 21 359 0.6× 980 2.0× 516 1.3× 142 0.5× 368 1.5× 97 2.4k

Countries citing papers authored by Mohammed Yeasin

Since Specialization
Citations

This map shows the geographic impact of Mohammed Yeasin'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 Mohammed Yeasin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammed Yeasin more than expected).

Fields of papers citing papers by Mohammed Yeasin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohammed Yeasin. 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 Mohammed Yeasin. The network helps show where Mohammed Yeasin may publish in the future.

Co-authorship network of co-authors of Mohammed Yeasin

This figure shows the co-authorship network connecting the top 25 collaborators of Mohammed Yeasin. A scholar is included among the top collaborators of Mohammed Yeasin 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 Mohammed Yeasin. Mohammed Yeasin 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.
Sadr, Alireza Vafaei, Jiang Li, Wenke Hwang, et al.. (2025). Flexible imputation toolkit for electronic health records. Scientific Reports. 15(1). 17176–17176. 1 indexed citations
2.
3.
Yeasin, Mohammed, et al.. (2024). Auto-Rad: End-to-End Report Generation from Lumber Spine MRI Using Vision–Language Model. Journal of Clinical Medicine. 13(23). 7092–7092.
4.
Yeasin, Mohammed, et al.. (2021). Data-driven machine learning models for decoding speech categorization from evoked brain responses. Journal of Neural Engineering. 18(4). 46012–46012. 8 indexed citations
5.
Li, Jiang, Durgesh Chaudhary, Venkatesh Avula, et al.. (2021). Imputation of missing values for electronic health record laboratory data. npj Digital Medicine. 4(1). 147–147. 59 indexed citations
6.
Yeasin, Mohammed, et al.. (2021). Interpretable and parameter optimized ensemble model for knee osteoarthritis assessment using radiographs. Scientific Reports. 11(1). 14348–14348. 24 indexed citations
7.
Abedi, Vida, Jiang Li, Manu Shivakumar, et al.. (2020). Increasing the Density of Laboratory Measures for Machine Learning Applications. Journal of Clinical Medicine. 10(1). 103–103. 10 indexed citations
8.
Ahmed, Faruk, et al.. (2020). Decoding Hearing-Related Changes in Older Adults’ Spatiotemporal Neural Processing of Speech Using Machine Learning. Frontiers in Neuroscience. 14. 748–748. 11 indexed citations
9.
Bidelman, Gavin M., et al.. (2019). Age-related hearing loss increases full-brain connectivity while reversing directed signaling within the dorsal–ventral pathway for speech. Brain Structure and Function. 224(8). 2661–2676. 36 indexed citations
10.
Yeasin, Mohammed, et al.. (2019). Early Imaging-Based Predictive Modeling of Cognitive Performance Following Therapy for Childhood ALL. IEEE Access. 7. 146662–146674. 4 indexed citations
11.
Yeasin, Mohammed, et al.. (2019). Decoding of single-trial EEG reveals unique states of functional brain connectivity that drive rapid speech categorization decisions. Journal of Neural Engineering. 17(1). 16045–16045. 16 indexed citations
12.
13.
Bashivan, Pouya, Mohammed Yeasin, & Gavin M. Bidelman. (2015). Single trial prediction of normal and excessive cognitive load through EEG feature fusion. 20 indexed citations
14.
Hoque, Mohammed Moshiul, Mohammed Yeasin, & Max M. Louwerse. (2008). Robust Recognition of Emotion from Speech. 2 indexed citations
15.
Yeasin, Mohammed, et al.. (2008). Robust Classification of Objects using a Sparse Detector Sensor.. International Conference on Artificial Intelligence. 12(6). 742–748. 2 indexed citations
16.
Yeasin, Mohammed, et al.. (2008). Fuzzy-Adaptive-Subspace-Iteration-Based Two-Way Clustering of Microarray Data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 6(2). 244–259. 11 indexed citations
17.
Shaik, Jahangheer, et al.. (2008). Semantically linking and browsing PubMed abstracts with gene ontology. BMC Genomics. 9(S1). S10–S10. 31 indexed citations
18.
Shaik, Jahangheer, Cartik R. Kothari, David J. Russomanno, & Mohammed Yeasin. (2006). 3D Visualization of Relation Clusters from OWL Ontologies.. 17–23. 1 indexed citations
19.
Yeasin, Mohammed. (2001). Optical Flow in Log-mapped Image Plane (A New Approach). Lecture notes in computer science. 252–260. 1 indexed citations
20.
Krahnstoever, Nils, et al.. (2001). Automatic Acquisition and Initialization of Kinematic Models. 7 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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