Chen-Lin Zhang

48 total papers · 1.6k total citations
20 papers, 595 citations indexed

About

Chen-Lin Zhang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Chen-Lin Zhang has authored 20 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Chen-Lin Zhang's work include Advanced Neural Network Applications (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Chen-Lin Zhang is often cited by papers focused on Advanced Neural Network Applications (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Chen-Lin Zhang collaborates with scholars based in China, Australia and United States. Chen-Lin Zhang's co-authors include Jianxin Wu, Zhi‐Hua Zhou, Guobing Zhou, Xiu-Shen Wei, Chunhua Shen, Yuan Gong, Yu Wu, Yunjiang Rao, Gang‐Ding Peng and Bernard Ghanem and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and Journal of Lightwave Technology.

In The Last Decade

Chen-Lin Zhang

19 papers receiving 582 citations

Author Peers

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

Author						Papers	Cites
Chen-Lin Zhang	286	258	75	52	52	20	595
Taeho Hur	190 0.7×	106 0.4×	129 1.7×	31 0.6×	110 2.1×	15	674
Masakazu Matsugu	276 1.0×	164 0.6×	60 0.8×	45 0.9×	37 0.7×	18	599
Nicolae Vizireanu	152 0.5×	57 0.2×	136 1.8×	105 2.0×	41 0.8×	22	571
Fengzhen Tang	113 0.4×	215 0.8×	60 0.8×	85 1.6×	36 0.7×	40	550
Ngoc-Huynh Ho	135 0.5×	158 0.6×	113 1.5×	82 1.6×	68 1.3×	22	529
Bilal Taha	214 0.7×	123 0.5×	46 0.6×	41 0.8×	86 1.7×	32	579
Daniele Pannone	319 1.1×	114 0.4×	31 0.4×	16 0.3×	39 0.8×	26	522
Xiaoming Liu	259 0.9×	247 1.0×	28 0.4×	50 1.0×	17 0.3×	38	555
Abdulhameed Alelaiwi	232 0.8×	119 0.5×	35 0.5×	67 1.3×	59 1.1×	20	662
Xun Guo	518 1.8×	100 0.4×	139 1.9×	169 3.3×	26 0.5×	34	678

Countries citing papers authored by Chen-Lin Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Chen-Lin Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen-Lin Zhang. 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 Chen-Lin Zhang. The network helps show where Chen-Lin Zhang may publish in the future.

Co-authorship network of co-authors of Chen-Lin Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Chen-Lin Zhang. A scholar is included among the top collaborators of Chen-Lin Zhang 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 Chen-Lin Zhang. Chen-Lin Zhang 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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