Deqiang Kong

13 total papers · 640 total citations
7 papers, 438 citations indexed

About

Deqiang Kong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Deqiang Kong has authored 7 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Deqiang Kong's work include Image Enhancement Techniques (2 papers), Recommender Systems and Techniques (1 paper) and Data Mining Algorithms and Applications (1 paper). Deqiang Kong is often cited by papers focused on Image Enhancement Techniques (2 papers), Recommender Systems and Techniques (1 paper) and Data Mining Algorithms and Applications (1 paper). Deqiang Kong collaborates with scholars based in China and United States. Deqiang Kong's co-authors include Zhenfeng Zhu, Yao Zhao, Youru Li, Hua Han, Xingxing Zhang, Yandong Guo, Jian Cheng, Zeyu Qiu and Hanqing Lu and has published in prestigious journals such as IEEE Transactions on Circuits and Systems for Video Technology, Knowledge-Based Systems and Neural Processing Letters.

In The Last Decade

Deqiang Kong

7 papers receiving 429 citations

Hit Papers

EA-LSTM: Evolutionary att... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Deqiang Kong 104 103 75 73 72 7 438
Fan Yang 93 0.9× 165 1.6× 70 0.9× 96 1.3× 34 0.5× 18 412
Chuanyang Gong 120 1.2× 65 0.6× 38 0.5× 84 1.2× 44 0.6× 8 452
José María Luna-Romera 120 1.2× 136 1.3× 52 0.7× 50 0.7× 34 0.5× 14 400
Kang Wang 92 0.9× 60 0.6× 129 1.7× 48 0.7× 28 0.4× 11 384
Miguel Delgado Calvo-Flores 164 1.6× 107 1.0× 58 0.8× 70 1.0× 137 1.9× 21 443
Aimad Karkouch 115 1.1× 38 0.4× 50 0.7× 79 1.1× 49 0.7× 6 416
Zhuoning Yuan 134 1.3× 39 0.4× 174 2.3× 25 0.3× 68 0.9× 16 464
Shouxu Jiang 80 0.8× 59 0.6× 28 0.4× 30 0.4× 31 0.4× 27 373
Qingyan Yang 59 0.6× 50 0.5× 71 0.9× 14 0.2× 101 1.4× 20 420
Mostafa Shabani 91 0.9× 130 1.3× 40 0.5× 138 1.9× 17 0.2× 14 458

Countries citing papers authored by Deqiang Kong

Since Specialization
Citations

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

Fields of papers citing papers by Deqiang Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deqiang Kong

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