Zengqiang Yan

73 total papers · 1.9k total citations
36 papers, 1.1k citations indexed

About

Zengqiang Yan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Zengqiang Yan has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Zengqiang Yan's work include Advanced Neural Network Applications (9 papers), Brain Tumor Detection and Classification (7 papers) and AI in cancer detection (7 papers). Zengqiang Yan is often cited by papers focused on Advanced Neural Network Applications (9 papers), Brain Tumor Detection and Classification (7 papers) and AI in cancer detection (7 papers). Zengqiang Yan collaborates with scholars based in China, Hong Kong and United States. Zengqiang Yan's co-authors include Kwang‐Ting Cheng, Xin Yang, Li Yu, Xian Lin, Zhiwei Wang, Dong Zhang, Qiong Liu, You Yang, Yang Liu and Lixin Fan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Medical Imaging.

In The Last Decade

Zengqiang Yan

34 papers receiving 1.1k citations

Hit Papers

Joint Segment-Level and P... 2018 2026 2020 2023 2018 2018 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Zengqiang Yan 715 636 417 307 104 36 1.1k
Qiangguo Jin 692 1.0× 644 1.0× 260 0.6× 352 1.1× 142 1.4× 32 1.2k
Toufique Ahmed Soomro 667 0.9× 556 0.9× 379 0.9× 167 0.5× 259 2.5× 46 1.1k
Lai Jiang 425 0.6× 653 1.0× 255 0.6× 183 0.6× 34 0.3× 55 1.0k
Muhammad Owais 473 0.7× 423 0.7× 135 0.3× 309 1.0× 100 1.0× 92 1.2k
Qiaoliang Li 592 0.8× 445 0.7× 326 0.8× 98 0.3× 40 0.4× 49 975
Malaya Kumar Nath 526 0.7× 487 0.8× 309 0.7× 370 1.2× 51 0.5× 67 1.3k
Xiaofei Wang 499 0.7× 267 0.4× 323 0.8× 129 0.4× 29 0.3× 45 966
Balázs Harangi 465 0.7× 326 0.5× 301 0.7× 362 1.2× 52 0.5× 51 935
Yi Wang 654 0.9× 593 0.9× 97 0.2× 574 1.9× 98 0.9× 39 1.5k
Imran Qureshi 447 0.6× 439 0.7× 233 0.6× 156 0.5× 86 0.8× 40 1.1k

Countries citing papers authored by Zengqiang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Zengqiang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zengqiang Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Zengqiang Yan. A scholar is included among the top collaborators of Zengqiang Yan 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 Zengqiang Yan. Zengqiang Yan 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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