Kun Jiang

460 total citations
49 papers, 335 citations indexed

About

Kun Jiang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Analytical Chemistry. According to data from OpenAlex, Kun Jiang has authored 49 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 11 papers in Analytical Chemistry. Recurrent topics in Kun Jiang's work include Face and Expression Recognition (9 papers), Analytical Chemistry and Chromatography (4 papers) and Chromatography in Natural Products (4 papers). Kun Jiang is often cited by papers focused on Face and Expression Recognition (9 papers), Analytical Chemistry and Chromatography (4 papers) and Chromatography in Natural Products (4 papers). Kun Jiang collaborates with scholars based in China, Belgium and Finland. Kun Jiang's co-authors include Famei Li, Xiumei Lu, Tiejie Wang, Feng Qin, Guo Yin, Jiasheng Tu, Yulan Li, Yang Song, Xiaoyi Wei and Yang Huang and has published in prestigious journals such as Molecules, Analytica Chimica Acta and Animal Behaviour.

In The Last Decade

Kun Jiang

43 papers receiving 323 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kun Jiang China 11 102 95 63 54 50 49 335
Shuping Wang China 12 151 1.5× 56 0.6× 38 0.6× 54 1.0× 56 1.1× 23 500
Bao Qiong Li China 15 142 1.4× 197 2.1× 92 1.5× 20 0.4× 49 1.0× 47 521
Rong Xiao China 14 115 1.1× 177 1.9× 84 1.3× 26 0.5× 23 0.5× 20 495
Yuanyuan Wu China 14 213 2.1× 56 0.6× 37 0.6× 23 0.4× 41 0.8× 43 603
Kailong Yuan China 14 322 3.2× 217 2.3× 85 1.3× 50 0.9× 105 2.1× 25 722
Shio Kumar Singh India 16 211 2.1× 39 0.4× 41 0.7× 140 2.6× 37 0.7× 49 1.0k
Anbao Wang China 14 354 3.5× 50 0.5× 46 0.7× 50 0.9× 80 1.6× 39 772

Countries citing papers authored by Kun Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Kun Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Jiang. A scholar is included among the top collaborators of Kun Jiang 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 Kun Jiang. Kun Jiang 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
1.
Jiang, Kun, et al.. (2025). Graph embedded subspace clustering with entropy-based feature weighting. International Journal of Machine Learning and Cybernetics. 16(9). 5727–5745.
2.
Jiang, Kun, et al.. (2025). Self-weighted subspace clustering via adaptive rank constrained graph embedding. Pattern Analysis and Applications. 28(1). 1 indexed citations
3.
Wei, Xuan, et al.. (2025). Preferentially laying female offspring during self-superparasitism in a quasigregarious parasitoid. Animal Behaviour. 224. 123205–123205.
4.
Yang, Jin, et al.. (2024). Research on Lateral Load Bearing Characteristics of Deepwater Drilling Conductor Suction Pile. Energies. 17(5). 1163–1163. 1 indexed citations
5.
Jiang, Kun, et al.. (2024). Robust auto-weighted and dual-structural representation learning for image clustering. Journal of Electronic Imaging. 33(4). 1 indexed citations
6.
Jiang, Kun, Ting Cao, Lei Zhu, & Qindong Sun. (2024). Adaptive and flexible $$\ell _1$$-norm graph embedding for unsupervised feature selection. Applied Intelligence. 54(22). 11732–11751. 1 indexed citations
7.
Jiang, Kun, Lei Zhu, & Qindong Sun. (2023). Joint Dual-Structural Constrained and Non-negative Analysis Representation Learning for Pattern Classification. Applied Artificial Intelligence. 37(1).
8.
Jiang, Kun, et al.. (2021). Physiologically Based Pharmacokinetic Models Are Effective Support for Pediatric Drug Development. AAPS PharmSciTech. 22(6). 208–208. 37 indexed citations
9.
Wang, Tiejie, et al.. (2020). In Vitro and In Vivo Anti‐AChE and Antioxidative Effects of Schisandra chinensis Extract: A Potential Candidate for Alzheimer’s Disease. Evidence-based Complementary and Alternative Medicine. 2020(1). 2804849–2804849. 6 indexed citations
10.
Jiang, Kun. (2019). Retrieval-Based Open-Domain Question Answering: Exploring The Impact on The Retrieval Component across Datasets. Research Repository (Delft University of Technology). 1 indexed citations
11.
Yin, Hui, Kun Jiang, Guo Yin, et al.. (2018). Potential of near infrared spectroscopy and pattern recognition for rapid discrimination and quantification of Gleditsia sinensis thorn powder with adulterants. Journal of Pharmaceutical and Biomedical Analysis. 160. 64–72. 22 indexed citations
12.
13.
Jiang, Kun & Yuexiang Yang. (2016). Efficient dynamic pruning on largest scores first (LSF) retrieval. Frontiers of Information Technology & Electronic Engineering. 17(1). 1–14. 2 indexed citations
14.
Jiang, Kun, Kunjie Li, Feng Qin, Xiumei Lu, & Famei Li. (2011). Assessment of a novel β2-adrenoceptor agonist, trantinterol, for interference with human liver cytochrome P450 enzymes activities. Toxicology in Vitro. 25(5). 1033–1038. 9 indexed citations
15.
Wang, Dan, Kun Jiang, Shuyan Yang, et al.. (2011). Determination of nifedipine in human plasma by ultra performance liquid chromatography–tandem mass spectrometry and its application in a pharmacokinetic study. Journal of Chromatography B. 879(20). 1827–1832. 23 indexed citations
16.
Wang, Yanjuan, Xiumei Lu, Kun Jiang, et al.. (2009). Liquid chromatography–mass spectrometry for analysis of a novel β2‐adrenoceptor agonist trantinterol and its metabolites in beagle dog urine. Biomedical Chromatography. 24(3). 274–280. 8 indexed citations
17.
18.
Yang, Jing, Xiumei Lu, Li Pan, et al.. (2008). Simultaneous enantioseparation of four β2‐agonists by capillary electrophoresis with cyclodextrin additives. Study of the enantioselective mechanism. Journal of Separation Science. 31(21). 3749–3754. 16 indexed citations
19.
20.
Ren, Jing, et al.. (2004). Determination of Trace Atrazine and Its Environmental Degradation Products by Solid Phase Extraction and Liquid Chromatography/Mass Spectrometry. Research Center for Eco-Environmental Sciences OpenIR (Chinese Academy of Sciences). 32(10). 1273–1277. 2 indexed citations

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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