Dingkang Liang

98 total papers · 1.1k total citations
44 papers, 386 citations indexed

About

Dingkang Liang is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Dingkang Liang has authored 44 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 14 papers in Computer Vision and Pattern Recognition and 12 papers in Control and Systems Engineering. Recurrent topics in Dingkang Liang's work include Power System Reliability and Maintenance (8 papers), Advanced Neural Network Applications (7 papers) and Video Surveillance and Tracking Methods (6 papers). Dingkang Liang is often cited by papers focused on Power System Reliability and Maintenance (8 papers), Advanced Neural Network Applications (7 papers) and Video Surveillance and Tracking Methods (6 papers). Dingkang Liang collaborates with scholars based in China, United Kingdom and Pakistan. Dingkang Liang's co-authors include Wei Xu, Yu Zhou, Xiang Bai, Xiwu Chen, Yingying Zhu, Jiahao Xie, Zhikang Zou, Xiaoqing Ye, Zhanyu Ma and Dingyuan Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Dingkang Liang

35 papers receiving 377 citations

Hit Papers

TransCrowd: weakly-superv... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Dingkang Liang 277 197 52 38 31 44 386
Sheng‐Fuu Lin 283 1.0× 190 1.0× 37 0.7× 33 0.9× 40 1.3× 36 421
Muhammad Saqib 208 0.8× 111 0.6× 36 0.7× 29 0.8× 9 0.3× 29 407
Jian Lü 229 0.8× 61 0.3× 12 0.2× 27 0.7× 67 2.2× 59 365
Rin-ichiro Taniguchi 263 0.9× 67 0.3× 20 0.4× 12 0.3× 30 1.0× 39 391
Jihua Ye 104 0.4× 41 0.2× 22 0.4× 85 2.2× 20 0.6× 44 422
Jinhui Lan 218 0.8× 57 0.3× 29 0.6× 16 0.4× 66 2.1× 33 373
Jin Zhang 152 0.5× 52 0.3× 10 0.2× 16 0.4× 16 0.5× 53 368
My-Ha Le 233 0.8× 43 0.2× 16 0.3× 29 0.8× 39 1.3× 40 334
Hongwei Ding 193 0.7× 117 0.6× 16 0.3× 16 0.4× 24 0.8× 42 393
Suree Pumrin 270 1.0× 49 0.2× 23 0.4× 10 0.3× 46 1.5× 34 399

Countries citing papers authored by Dingkang Liang

Since Specialization
Citations

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

Fields of papers citing papers by Dingkang Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dingkang Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Dingkang Liang. A scholar is included among the top collaborators of Dingkang Liang 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 Dingkang Liang. Dingkang Liang 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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