Zuoxin Li

674 citations
11 papers · 219 · h-index 6

Impact in

Papers in

Zuoxin Li

10 papers receiving 215 citations

Peers

Zuoxin Li
Comparison fields: 5 of 49
  • Computer Vision and Pattern Recognition 87
  • Radiology, Nuclear Medicine and Imaging 69
  • Artificial Intelligence 108
  • Pulmonary and Respiratory Medicine 59
  • Computer Networks and Communications 48
Replace Ramalingam Gunasundari with:
Ramalingam Gunasundari India
Wangxia Zuo China
Pranjal Sahu United States
Yunsheng Wu China
Mianjie Li China
Ezhil E. Nithila India
Tarun Agrawal India
Himanshu Buckchash India
Soan T. M. Duong Vietnam
Sonali Sonali India
Zuoxin Li relative to Ramalingam Gunasundari India Ramalingam Gunasundari's profile →
Citations per field
00.5×1.5×2.0×
Ramalingam Gunasundari · 1×
Citations per year

Countries citing papers authored by Zuoxin Li

Since Specialization
Citations

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

Fields of papers citing papers by Zuoxin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Zuoxin Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zuoxin Li Line = papers co-authored together Zuoxin Li links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201987
2 201867
3 201828
4 201919
5 20198
6 20186
7 20221
8 20231
9 20191
10 20191
11 20230

About Zuoxin Li

Zuoxin Li is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Computational Mechanics and Computer Networks and Communications, having authored 11 papers that have together received 219 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (3 papers), Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Image Processing Techniques (2 papers), Image and Object Detection Techniques (2 papers), Network Security and Intrusion Detection (2 papers) and Advanced Numerical Analysis Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (87 citations), Radiology, Nuclear Medicine and Imaging (69 citations), Artificial Intelligence (108 citations), Pulmonary and Respiratory Medicine (59 citations) and Computer Networks and Communications (48 citations). Zuoxin Li has collaborated with scholars based in China. Frequent co-authors include Fuqiang Zhou, Wangxia Zuo, Lin Wang, Haishu Tan, Lin Wang, Xiaojie Li, Juan Li, Lu Yang, Xiaosong Li and Qing Song. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit, Neurocomputing, Neural Processing Letters and IEEE Access.

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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