Jun Qin

790 citations
22 papers · 380 · h-index 8

Impact in

Papers in

Jun Qin

18 papers receiving 363 citations

Peers

Jun Qin
Comparison fields: 5 of 61
  • Information Systems and Management 159
  • Computer Networks and Communications 201
  • Hardware and Architecture 37
  • Information Systems 118
  • Environmental Engineering 49
Replace Bruno Schulze with:
Bruno Schulze Brazil
Mohan Yang United States
Krishna Muriki United States
Ali Salehi Switzerland
Fábio Diniz Rossi Brazil
Toni Mastelić Croatia
S Raghavendra India
Navneet Goyal India
Cătălin Negru Romania
Yoginder S. Dandass United States
Jun Qin relative to Bruno Schulze Brazil Bruno Schulze's profile →
Citations per field
00.5×6.1×
Bruno Schulze · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Jun Qin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jun Qin Line = papers co-authored together Jun Qin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005110
2 202186
3 200567
4 201840
5 200719
6 201912
7 20087
8 20107
9 20195
10 20195
11 20243
12 20253
13 20193
14 20093
15 20203
16 20223
17 20242
18 20242
19 20240
20 20250

About Jun Qin

Jun Qin is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Management, Hardware and Architecture and Control and Systems Engineering, having authored 22 papers that have together received 380 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (5 papers), Scientific Computing and Data Management (5 papers), Medical Image Segmentation Techniques (3 papers), Nanoplatforms for cancer theranostics (2 papers), Interactive and Immersive Displays (2 papers), Advanced Data Storage Technologies (2 papers), Real-Time Systems Scheduling (2 papers) and Augmented Reality Applications (2 papers). The work is most often cited by research in Information Systems and Management (159 citations), Computer Networks and Communications (201 citations), Hardware and Architecture (37 citations), Information Systems (118 citations) and Environmental Engineering (49 citations). Jun Qin has collaborated with scholars based in China, Austria and United Kingdom. Frequent co-authors include Thomas Fahringer, Yanlan Wu, Haochen Zhu, Lu Qi, Biao Wang, Radu Prodan, Alex Villazón, M. A. Wieczorek, Xuanjing Shen and Stefan Podlipnig. Their work appears in journals such as International Journal of Human-Computer Interaction, Measurement, Scientific Reports, Complex & Intelligent Systems and International Journal of Automotive Technology.

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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