Jing Ye

1.7k total citations
107 papers, 1.3k citations indexed

About

Jing Ye is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Jing Ye has authored 107 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 25 papers in Computer Vision and Pattern Recognition and 24 papers in Biomedical Engineering. Recurrent topics in Jing Ye's work include Prosthetics and Rehabilitation Robotics (9 papers), Muscle activation and electromyography studies (8 papers) and Image Enhancement Techniques (7 papers). Jing Ye is often cited by papers focused on Prosthetics and Rehabilitation Robotics (9 papers), Muscle activation and electromyography studies (8 papers) and Image Enhancement Techniques (7 papers). Jing Ye collaborates with scholars based in China, United States and Hong Kong. Jing Ye's co-authors include Hongna Li, Jun‐Min Liu, Congkang Xu, San Ping Jiang, Binxu Li, Hao Tang, Shuiping Chen, Hai Jiang, Yi Lv and Xiandeng Hou and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

Jing Ye

92 papers receiving 1.3k citations

Peers

Jing Ye
Comparison fields: 5 of 153
  • Electrical and Electronic Engineering 404
  • Biomedical Engineering 315
  • Materials Chemistry 163
  • Computer Vision and Pattern Recognition 135
  • Molecular Biology 121
Haixu Wang China
Chengcheng Wang China
Long Huang China
Jingjing Liu China
Yang Lin China
Jié Song China
Pratibha Singh India
Peilong Xu China
Utkarsh Chadha India
Hui Chen China
Haixu Wang China View profile →
Citations per field, relative to Jing Ye
Jing Ye · 1×
Citations per year, relative to Jing Ye
Jing Ye · 1×

Countries citing papers authored by Jing Ye

Since Specialization
Citations

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

Fields of papers citing papers by Jing Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Ye. A scholar is included among the top collaborators of Jing Ye 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 Ye. Jing Ye 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
# Work Indexed citations
1 28
2 5
3 10
4 5
5 4
6 0
7 2
8 3
9 0
10 1
11 17
12 6
13 2
14 9
15 3
16 6
17 1
18 1
19 3
20
A Face Speech Animation System Based on Modified HMM
1

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026