Peng Zhou

4.4k total citations · 1 hit paper
89 papers, 2.5k citations indexed

About

Peng Zhou is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Peng Zhou has authored 89 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 38 papers in Computer Vision and Pattern Recognition and 10 papers in Molecular Biology. Recurrent topics in Peng Zhou's work include Face and Expression Recognition (27 papers), Advanced Clustering Algorithms Research (15 papers) and Advanced Graph Neural Networks (10 papers). Peng Zhou is often cited by papers focused on Face and Expression Recognition (27 papers), Advanced Clustering Algorithms Research (15 papers) and Advanced Graph Neural Networks (10 papers). Peng Zhou collaborates with scholars based in China, Hong Kong and Australia. Peng Zhou's co-authors include Bo Xu, Zhenyu Qi, Jun Tian, Bingchen Li, Wei Shi, Hongwei Hao, Liang Du, Xuejun Li, Yi-Dong Shen and Mingyu Fan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Peng Zhou

77 papers receiving 2.5k citations

Hit Papers

Attention-Based Bidirectional Long Short-Term Memory Netw... 2016 2026 2019 2022 2016 400 800 1.2k

Peers

Peng Zhou
Comparison fields: 5 of 150
  • Artificial Intelligence 1.7k
  • Computer Vision and Pattern Recognition 760
  • Information Systems 239
  • Molecular Biology 209
  • Signal Processing 144
Replace Liping Jing with:
Liping Jing China
Wenyu Chen China
Kun Zhang United States
Dae‐Won Kim South Korea
Serhii Havrylov Ukraine
Jinfeng Yi United States
Afshin Rostamizadeh United States
Tom Young Singapore
Wenyuan Dai China
Ke Lü China
Liping Jing China View profile →
Citations per field, relative to Peng Zhou
Peng Zhou · 1×
Citations per year, relative to Peng Zhou
Peng Zhou · 1×

Countries citing papers authored by Peng Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Peng Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Zhou. A scholar is included among the top collaborators of Peng Zhou 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 Zhou. Peng Zhou 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 2
2 0
3 0
4 0
5 0
6 1
7 1
8 2
9 0
10 3
11 4
12 17
13 12
14 10
15 20
16 4
17 28
18
Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification breakdown →
1310
19
Recovery of corrupted multiple kernels for clustering
30
20
A Novel Image Matching Method Based on SIFT
0

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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