Zhanglin Peng

72 total papers · 1.3k total citations
42 papers, 708 citations indexed

About

Zhanglin Peng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Zhanglin Peng has authored 42 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Management Science and Operations Research. Recurrent topics in Zhanglin Peng's work include Advanced Image and Video Retrieval Techniques (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Neural Network Applications (5 papers). Zhanglin Peng is often cited by papers focused on Advanced Image and Video Retrieval Techniques (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Advanced Neural Network Applications (5 papers). Zhanglin Peng collaborates with scholars based in China, Hong Kong and Canada. Zhanglin Peng's co-authors include Qiang Zhang, Shanlin Yang, Ping Luo, Xiaoan Tang, Ruimao Zhang, Shuangyao Zhao, Xiaonong Lu, Anning Wang, Witold Pedrycz and Sufeng Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Cleaner Production and Energy.

In The Last Decade

Zhanglin Peng

41 papers receiving 689 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Zhanglin Peng	194	184	114	93	79	42	708
Simona Dziţac	110 0.6×	208 1.1×	51 0.4×	24 0.3×	102 1.3×	57	902
Francisco Velasco Morente	147 0.8×	140 0.8×	121 1.1×	21 0.2×	60 0.8×	82	818
Heiner Müller-Merbach	270 1.4×	143 0.8×	141 1.2×	24 0.3×	62 0.8×	64	904
Gyunghyun Choi	89 0.5×	87 0.5×	59 0.5×	25 0.3×	98 1.2×	42	740
Jérémy Robert	93 0.5×	174 0.9×	54 0.5×	37 0.4×	96 1.2×	24	846
Poly Z. H. Sun	141 0.7×	68 0.4×	156 1.4×	91 1.0×	72 0.9×	62	875
Baocun Hou	113 0.6×	62 0.3×	90 0.8×	94 1.0×	60 0.8×	28	865
Jorge Freire de Sousa	209 1.1×	75 0.4×	54 0.5×	135 1.5×	146 1.8×	31	905
Ching-Hsin Wang	81 0.4×	120 0.7×	31 0.3×	83 0.9×	119 1.5×	46	698
Dharmashankar Subramanian	108 0.6×	146 0.8×	153 1.3×	52 0.6×	25 0.3×	75	732

Countries citing papers authored by Zhanglin Peng

Since Specialization

Citations

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

Fields of papers citing papers by Zhanglin Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhanglin Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Zhanglin Peng. A scholar is included among the top collaborators of Zhanglin 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 Zhanglin Peng. Zhanglin Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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