Peng Ye

2.9k total citations · 2 hit papers
81 papers, 1.9k citations indexed

About

Peng Ye is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Geography, Planning and Development. According to data from OpenAlex, Peng Ye has authored 81 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 10 papers in Geography, Planning and Development. Recurrent topics in Peng Ye's work include Geographic Information Systems Studies (9 papers), Natural Language Processing Techniques (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Peng Ye is often cited by papers focused on Geographic Information Systems Studies (9 papers), Natural Language Processing Techniques (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Peng Ye collaborates with scholars based in China, United States and Australia. Peng Ye's co-authors include David Doermann, Le Kang, Yi Li, Jingtao Xu, Qiaohong Li, Haiqing Du, Yong Liu, Xueying Zhang, Ge Shi and Shu Wang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Cleaner Production.

In The Last Decade

Peng Ye

64 papers receiving 1.9k citations

Hit Papers

Convolutional Neural Networks for No-Reference Image Qual... 2014 2026 2018 2022 2014 2016 250 500 750

Peers

Peng Ye
Comparison fields: 5 of 124
  • Computer Vision and Pattern Recognition 1.3k
  • Media Technology 790
  • Artificial Intelligence 239
  • Global and Planetary Change 107
  • Geography, Planning and Development 89
Replace Wenkai Zhang with:
Wenkai Zhang China
Guoliang Fan United States
Weiwei Song China
Chao‐Hung Lin Taiwan
Nathan Jacobs United States
Liqiu Meng Germany
Selim Aksoy Türkiye
Øivind Due Trier Norway
Wenkai Zhang China View profile →
Citations per field, relative to Peng Ye
Peng Ye · 1×
Citations per year, relative to Peng Ye
Peng Ye · 1×

Countries citing papers authored by Peng Ye

Since Specialization
Citations

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

Fields of papers citing papers by Peng Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Ye. A scholar is included among the top collaborators of Peng 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 Peng Ye. Peng 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 0
2 1
3 2
4 0
5 0
6 2
7 5
8 2
9 1
10 2
11 0
12 19
13 1
14 11
15 5
16 6
17
Impact of climate change on the distribution pattern of Malus baccata (L.) Borkh. in China since the Last Glacial Maximum.
6
18 9
19 5
20
Learning features for predicting OCR accuracy
24

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