Jing Peng

1.0k total citations
25 papers, 594 citations indexed

About

Jing Peng is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Jing Peng has authored 25 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Molecular Biology and 4 papers in Artificial Intelligence. Recurrent topics in Jing Peng's work include Advanced Image and Video Retrieval Techniques (4 papers), Neurobiology and Insect Physiology Research (3 papers) and Face and Expression Recognition (3 papers). Jing Peng is often cited by papers focused on Advanced Image and Video Retrieval Techniques (4 papers), Neurobiology and Insect Physiology Research (3 papers) and Face and Expression Recognition (3 papers). Jing Peng collaborates with scholars based in China, United States and Switzerland. Jing Peng's co-authors include Eric Kubli, Peder Zipperlen, Thomas G. Honegger, Shanjun Chen, Douglas R. Heisterkamp, Honghua Dai, Byoung Chul Ko, Hyeran Byun, Yves Choffat and Satoshi Ii and has published in prestigious journals such as Current Biology, Food Chemistry and Journal of Materials Chemistry A.

In The Last Decade

Jing Peng

23 papers receiving 588 citations

Peers

Jing Peng
Comparison fields: 5 of 94
  • Genetics 269
  • Ecology, Evolution, Behavior and Systematics 262
  • Cellular and Molecular Neuroscience 224
  • Insect Science 136
  • Immunology 124
Replace Benjamin P. Smith with:
Benjamin P. Smith Canada
Hongyi Nie China
Zheng Zeng China
Sara Botti Italy
Yukiteru Ono Japan
Jia‐Hsin Huang Taiwan
Mark S. Gibson United Kingdom
Ulrich Stern United States
Weitian Liu China
Benjamin P. Smith Canada View profile →
Citations per field, relative to Jing Peng
Jing Peng · 1×
Citations per year, relative to Jing Peng
Jing Peng · 1×

Countries citing papers authored by Jing Peng

Since Specialization
Citations

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

Fields of papers citing papers by Jing Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Peng. A scholar is included among the top collaborators of Jing Peng 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 Peng. Jing Peng 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 1
2 0
3 8
4 0
5 7
6 14
7 27
8 4
9 10
10 4
11
Chest CT imaging characteristics and their evolution of 48 patients with COVID-19 in Hengyang, China.
1
12 3
13 21
14 1
15 1
16 2
17 235
18 182
19 19
20
An Efficient Algorithm of Thinning Scanned Pencil Drawings
2

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