Jun Qin

790 total citations
22 papers, 380 citations indexed

About

Jun Qin is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, Jun Qin has authored 22 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 7 papers in Computer Networks and Communications and 5 papers in Information Systems and Management. Recurrent topics in Jun Qin's work include Distributed and Parallel Computing Systems (5 papers), Scientific Computing and Data Management (5 papers) and Medical Image Segmentation Techniques (3 papers). Jun Qin is often cited by papers focused on Distributed and Parallel Computing Systems (5 papers), Scientific Computing and Data Management (5 papers) and Medical Image Segmentation Techniques (3 papers). Jun Qin collaborates with scholars based in China, Austria and United Kingdom. Jun Qin's co-authors include Thomas Fahringer, Yanlan Wu, Biao Wang, Haochen Zhu, Lu Qi, Radu Prodan, M. A. Wieczorek, Xuanjing Shen, Alex Villazón and Rubing Duan and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and Expert Systems with Applications.

In The Last Decade

Jun Qin

18 papers receiving 363 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 Qin China 8 201 159 118 61 50 22 380
Bruno Schulze Brazil 10 298 1.5× 79 0.5× 208 1.8× 19 0.3× 10 0.2× 96 466
Mohan Yang United States 9 138 0.7× 25 0.2× 85 0.7× 14 0.2× 9 0.2× 16 263
Ali Salehi Switzerland 10 506 2.5× 22 0.1× 96 0.8× 12 0.2× 21 0.4× 18 648
Krishna Muriki United States 6 405 2.0× 103 0.6× 376 3.2× 7 0.1× 6 0.1× 10 533
Fábio Diniz Rossi Brazil 11 524 2.6× 22 0.1× 388 3.3× 8 0.1× 22 0.4× 79 680
Yin Ye China 8 48 0.2× 14 0.1× 59 0.5× 50 0.8× 103 2.1× 18 433
Toni Mastelić Croatia 10 277 1.4× 6 0.0× 247 2.1× 16 0.3× 14 0.3× 25 437
S Raghavendra India 10 85 0.4× 12 0.1× 130 1.1× 11 0.2× 15 0.3× 48 358
Cătălin Negru Romania 10 196 1.0× 13 0.1× 142 1.2× 6 0.1× 50 1.0× 48 301
Navneet Goyal India 11 82 0.4× 14 0.1× 126 1.1× 6 0.1× 24 0.5× 57 358

Countries citing papers authored by Jun Qin

Since Specialization
Citations

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

Fields of papers citing papers by Jun Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Qin. A scholar is included among the top collaborators of Jun Qin 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 Qin. Jun Qin 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.
3.
Chang, Haṡok, et al.. (2025). TrailTag: Enhancing the Selection of Moving Targets in Virtual Reality Environments Combining the Comet and Tag Mechanisms. International Journal of Human-Computer Interaction. 41(21). 13427–13446.
4.
Qin, Jun, et al.. (2025). Liver segmentation network based on detail enhancement and multi-scale feature fusion. Scientific Reports. 15(1). 683–683. 3 indexed citations
5.
Yang, Huamin, et al.. (2024). Improved shape-from-template method with perspective space constraints for disappearing features. Complex & Intelligent Systems. 10(4). 5475–5488.
6.
Qin, Jun, et al.. (2024). Dataset-level color augmentation and multi-scale exploration methods for polyp segmentation. Expert Systems with Applications. 260. 125395–125395. 2 indexed citations
7.
Zhang, Xiao, et al.. (2024). Two-step graph propagation for incomplete multi-view clustering. Neural Networks. 183. 106944–106944. 3 indexed citations
8.
Wang, Chaoyu, Jun Qin, Lizhen Liu, et al.. (2024). Aptamer-functionalized hollow carbon nanospheres for the targeted chemo-photothermal therapy of breast tumor. Materials Chemistry Frontiers. 8(24). 4049–4058. 2 indexed citations
9.
Sun, Minghui, et al.. (2022). Climbing Keyboard: A Tilt-Based Selection Keyboard Entry for Virtual Reality. International Journal of Human-Computer Interaction. 40(5). 1327–1338. 3 indexed citations
10.
Qin, Jun, Biao Wang, Yanlan Wu, Lu Qi, & Haochen Zhu. (2021). Identifying Pine Wood Nematode Disease Using UAV Images and Deep Learning Algorithms. Remote Sensing. 13(2). 162–162. 86 indexed citations
11.
Qin, Guihe, et al.. (2020). Schedule Optimization for Ttethernet-based Time-triggered Automotive Systems. International Journal of Automotive Technology. 21(6). 1483–1494. 3 indexed citations
12.
Qin, Jun, et al.. (2019). A fusion algorithm for medical structural and functional images based on adaptive image decomposition. Multimedia Tools and Applications. 78(22). 32605–32629. 3 indexed citations
13.
Qin, Jun, et al.. (2019). An Automotive Needle Meter Dynamic Test Method Based on Computer Vision and HILTechnology. Procedia Computer Science. 154. 588–595. 5 indexed citations
14.
Qin, Jun, Xuanjing Shen, Fang Mei, & Fang Zheng. (2018). An Otsu multi-thresholds segmentation algorithm based on improved ACO. The Journal of Supercomputing. 75(2). 955–967. 40 indexed citations
15.
Zhang, Hongkun, Wenjun Li, & Jun Qin. (2010). Model-based functional safety analysis method for automotive embedded system application. 761–765. 7 indexed citations
16.
Qin, Jun, Thomas Fahringer, & Radu Prodan. (2009). A novel graph based approach for automatic composition of high quality grid workflows. 167–176. 3 indexed citations
17.
Qin, Jun & Thomas Fahringer. (2008). A novel domain oriented approach for scientific grid workflow composition. IEEE International Conference on High Performance Computing, Data, and Analytics. 21. 7 indexed citations
18.
Qin, Jun & Thomas Fahringer. (2007). Advanced data flow support for scientific grid workflow applications. 1–12. 19 indexed citations
19.
Fahringer, Thomas, et al.. (2005). Specification of grid workflow applications with AGWL: an Abstract Grid Workflow Language. 676–685 Vol. 2. 67 indexed citations
20.
Fahringer, Thomas, Radu Prodan, Rubing Duan, et al.. (2005). ASKALON: a Grid application development and computing environment. 10 pp.–10 pp.. 110 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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