Feng Jin

81 total papers · 1.1k total citations
42 papers, 747 citations indexed

About

Feng Jin is a scholar working on Pulmonary and Respiratory Medicine, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Feng Jin has authored 42 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 12 papers in Signal Processing and 9 papers in Artificial Intelligence. Recurrent topics in Feng Jin's work include Phonocardiography and Auscultation Techniques (12 papers), Speech and Audio Processing (7 papers) and Fault Detection and Control Systems (6 papers). Feng Jin is often cited by papers focused on Phonocardiography and Auscultation Techniques (12 papers), Speech and Audio Processing (7 papers) and Fault Detection and Control Systems (6 papers). Feng Jin collaborates with scholars based in China, Singapore and Canada. Feng Jin's co-authors include Arindam Sengupta, Siyang Cao, Farook Sattar, Renyuan Zhang, Shiliang Sun, D. Y. T. Goh, Sridhar Krishnan, Daniel Y.T. Goh, Sarika Cullis-Suzuki and Trevor Martin and has published in prestigious journals such as IEEE Transactions on Biomedical Engineering, Remote Sensing and Neurocomputing.

In The Last Decade

Feng Jin

38 papers receiving 728 citations

Hit Papers

mm-Pose: Real-Time Human ... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Feng Jin 212 177 170 146 123 42 747
Xiaoli Meng 255 1.2× 265 1.5× 172 1.0× 183 1.3× 229 1.9× 28 869
Bertrand Merminod 216 1.0× 296 1.7× 35 0.2× 143 1.0× 382 3.1× 53 837
Stephen Baek 168 0.8× 55 0.3× 66 0.4× 154 1.1× 259 2.1× 65 868
Guoli Wang 331 1.6× 110 0.6× 36 0.2× 310 2.1× 211 1.7× 70 809
Dongquan Liu 92 0.4× 56 0.3× 72 0.4× 242 1.7× 21 0.2× 39 710
Yun Pan 169 0.8× 207 1.2× 32 0.2× 156 1.1× 298 2.4× 97 841
Anh Duy Nguyen 120 0.6× 198 1.1× 18 0.1× 149 1.0× 149 1.2× 25 659
Pablo Casaseca‐de‐la‐Higuera 193 0.9× 54 0.3× 157 0.9× 241 1.7× 62 0.5× 63 810
Ehsan Yavari 631 3.0× 122 0.7× 19 0.1× 60 0.4× 214 1.7× 49 831
Yuxi Zhou 131 0.6× 57 0.3× 117 0.7× 60 0.4× 63 0.5× 24 674

Countries citing papers authored by Feng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Feng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Jin. A scholar is included among the top collaborators of Feng Jin 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 Feng Jin. Feng Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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