Jing Qin

72 total papers · 625 total citations
36 papers, 349 citations indexed

About

Jing Qin is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jing Qin has authored 36 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jing Qin's work include Energetic Materials and Combustion (5 papers), ECG Monitoring and Analysis (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Jing Qin is often cited by papers focused on Energetic Materials and Combustion (5 papers), ECG Monitoring and Analysis (4 papers) and Anomaly Detection Techniques and Applications (4 papers). Jing Qin collaborates with scholars based in China, United Kingdom and United States. Jing Qin's co-authors include Zumin Wang, Hui Fang, Liming Chen, Merrill Beckstead, Samuel D. Relton, David Wong, Changqing Ji, Xiangjian He, Gengfa Fang and Qianwen Ye and has published in prestigious journals such as PLoS Computational Biology, Applied Thermal Engineering and Applied Sciences.

In The Last Decade

Jing Qin

30 papers receiving 334 citations

Author Peers

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

Author Last Decade Papers Cites
Jing Qin 109 90 72 65 60 36 349
Ahmad F. Al‐Ajlouni 88 0.8× 45 0.5× 73 1.0× 80 1.2× 49 0.8× 23 376
Syed Ismail Shah 53 0.5× 77 0.9× 46 0.6× 100 1.5× 47 0.8× 36 331
Tianrui Chen 106 1.0× 24 0.3× 27 0.4× 31 0.5× 34 0.6× 33 390
Muhammad Ahsan Ullah 63 0.6× 29 0.3× 34 0.5× 69 1.1× 23 0.4× 39 399
Ireneusz Jabłoński 63 0.6× 53 0.6× 29 0.4× 31 0.5× 11 0.2× 39 303
Zhenjie Yao 65 0.6× 28 0.3× 43 0.6× 24 0.4× 20 0.3× 35 371
Shuai Huang 70 0.6× 31 0.3× 16 0.2× 34 0.5× 40 0.7× 53 351
Roland Priemer 143 1.3× 36 0.4× 57 0.8× 23 0.4× 64 1.1× 43 369
O.E. Herrmann 18 0.2× 89 1.0× 76 1.1× 73 1.1× 66 1.1× 34 340
J. Schroeder 56 0.5× 20 0.2× 24 0.3× 41 0.6× 133 2.2× 54 308

Countries citing papers authored by Jing Qin

Since Specialization
Citations

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

Fields of papers citing papers by Jing Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Qin

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