Jun Kong

5.4k total citations
228 papers, 3.6k citations indexed

About

Jun Kong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, Jun Kong has authored 228 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Artificial Intelligence, 69 papers in Computer Vision and Pattern Recognition and 39 papers in Biophysics. Recurrent topics in Jun Kong's work include AI in cancer detection (43 papers), Cell Image Analysis Techniques (33 papers) and Medical Image Segmentation Techniques (27 papers). Jun Kong is often cited by papers focused on AI in cancer detection (43 papers), Cell Image Analysis Techniques (33 papers) and Medical Image Segmentation Techniques (27 papers). Jun Kong collaborates with scholars based in United States, China and Brazil. Jun Kong's co-authors include Joel Saltz, Daniel J. Brat, Metin N. Gürcan, Olcay Sertel, Lee Cooper, Fusheng Wang, Tahsin Kurç, Ümit V. Çatalyürek, Joel H. Saltz and George Teodoro and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Jun Kong

212 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Kong United States 30 1.3k 905 643 615 462 228 3.6k
Tahsin Kurç United States 34 2.0k 1.5× 1.1k 1.2× 1.3k 2.0× 613 1.0× 541 1.2× 219 4.9k
Bülent Yener United States 31 2.0k 1.5× 1.3k 1.4× 747 1.2× 501 0.8× 492 1.1× 115 5.7k
Xiaobo Zhou United States 42 759 0.6× 859 0.9× 459 0.7× 2.9k 4.6× 1.2k 2.6× 249 5.9k
Cheng Lu China 33 980 0.7× 1.2k 1.3× 817 1.3× 744 1.2× 278 0.6× 197 3.8k
Jason Hipp United States 24 1.2k 0.9× 323 0.4× 849 1.3× 915 1.5× 263 0.6× 58 2.9k
Marcel Reinders Netherlands 54 1.2k 0.9× 1.1k 1.2× 192 0.3× 5.9k 9.6× 420 0.9× 298 11.1k
Danny Z. Chen United States 34 683 0.5× 1.1k 1.2× 836 1.3× 385 0.6× 133 0.3× 292 4.2k
Hans A. Kestler Germany 45 525 0.4× 301 0.3× 698 1.1× 3.4k 5.6× 172 0.4× 264 7.2k
David J. Foran United States 30 1.2k 0.9× 1.0k 1.1× 795 1.2× 517 0.8× 435 0.9× 110 3.1k
Fabio A. González Colombia 35 2.8k 2.1× 1.4k 1.6× 1.4k 2.2× 401 0.7× 279 0.6× 195 5.0k

Countries citing papers authored by Jun Kong

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kong. A scholar is included among the top collaborators of Jun 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 Jun Kong. Jun Kong 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.
Yi, Yugen, et al.. (2025). BSDSGANet: Bidirectional Skip-stored Dual-Stream Gated Attention Network for multivariate time series classification. Knowledge-Based Systems. 318. 113474–113474. 1 indexed citations
2.
3.
Li, Hongxiao, et al.. (2023). Predicting Neoadjuvant Treatment Response in Triple-Negative Breast Cancer Using Machine Learning. Diagnostics. 14(1). 74–74. 5 indexed citations
4.
Kurç, Tahsin, et al.. (2023). Effective and efficient active learning for deep learning-based tissue image analysis. Bioinformatics. 39(4). 2 indexed citations
5.
Kong, Jun, et al.. (2023). Understanding the effects of specific techno-stressors on strain and job performance: a meta-analysis of the empirical evidence. Information Technology and People. 38(2). 787–826. 9 indexed citations
6.
Sun, Xiao, Jun Kong, Hiroki Kato, et al.. (2023). TRPV4‐mediated Ca2+ deregulation causes mitochondrial dysfunction via the AKT/α‐synuclein pathway in dopaminergic neurons. FASEB BioAdvances. 5(12). 507–520. 6 indexed citations
7.
Liu, Zhaoxin, Xiaolu Wang, Yufeng Bi, et al.. (2022). Travel Patterns Analysis Using Tensor-Based Model from Large-Scale License Plate Recognition Data. Journal of Advanced Transportation. 2022. 1–14. 1 indexed citations
8.
Bhattarai, Shristi, Hongxiao Li, Zhan Shi, et al.. (2022). A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images. Bioinformatics. 38(19). 4605–4612. 20 indexed citations
9.
10.
Wang, Fusheng, Yaobing Chen, Hao Chen, et al.. (2022). Virtual liver needle biopsy from reconstructed three-dimensional histopathological images: Quantification of sampling error. Computers in Biology and Medicine. 147. 105764–105764. 6 indexed citations
11.
12.
Jiang, Kun, Mohammad K. Mohammad, Wasim Dar, Jun Kong, & Alton B. Farris. (2020). Quantitative assessment of liver fibrosis by digital image analysis reveals correlation with qualitative clinical fibrosis staging in liver transplant patients. PLoS ONE. 15(9). e0239624–e0239624. 6 indexed citations
13.
Zhang, Tuo, Jun Kong, Ke Jing, et al.. (2018). Optimization of macaque brain DMRI connectome by neuron tracing and myelin stain data. Computerized Medical Imaging and Graphics. 69. 9–20. 3 indexed citations
14.
15.
Mukherjee, Amitava, Jun Kong, & Daniel J. Brat. (2014). Cancer Stem Cell Division: When the Rules of Asymmetry Are Broken. Stem Cells and Development. 24(4). 405–416. 50 indexed citations
16.
Teodoro, George, Tahsin Kurç, Tony Pan, et al.. (2012). Accelerating Large Scale Image Analyses on Parallel, CPU-GPU Equipped Systems. PubMed. 2012. 1093–1104. 23 indexed citations
17.
Kong, Jun, et al.. (2011). Graph Grammar Based Web Data Extraction.. Software Engineering and Knowledge Engineering. 373–378. 2 indexed citations
18.
Liu, Pu, Sheldon X.-D. Tan, Hang Li, et al.. (2005). An efficient method for terminal reduction of interconnect circuits considering delay variations. International Conference on Computer Aided Design. 821–826. 26 indexed citations
19.
Zhang, Kang, Guanglei Song, & Jun Kong. (2004). Rapid software prototyping using visual language techniques. 119–126. 4 indexed citations
20.
Kong, Jun, Kang Zhang, & Mao Lin Huang. (2003). Application-oriented spatial graph grammars. UTS ePRESS (University of Technology Sydney). 210–215. 1 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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