Jun Qin

804 citations
29 papers · 580 · h-index 10

Impact in

Papers in

Jun Qin

25 papers receiving 557 citations

Peers

Jun Qin
Comparison fields: 5 of 63
  • Information Systems and Management 316
  • Computer Networks and Communications 382
  • Information Systems 224
  • Hardware and Architecture 57
  • Environmental Engineering 52
Replace Bruno Schulze with:
Bruno Schulze Brazil
Krishna Muriki United States
Daniele Lezzi Spain
Mario Villamizar Colombia
Manos Karpathiotakis Greece
H. A. James Australia
Haitao Chen China
Roberto R. Expósito Spain
Simin You United States
Daniel Balouek‐Thomert United States
Jun Qin relative to Bruno Schulze Brazil Bruno Schulze's profile →
Citations per field
00.5×5.2×
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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005139
2 2007101
3 202191
4 200584
5 201842
6 200724
7 201912
8 200812
9 200511
10 200711
11 20108
12 20097
13 20195
14 20195
15 20204
16 20244
17 20253
18 20193
19 20073
20 20243

About Jun Qin

Jun Qin is a scholar working on Computer Networks and Communications, Information Systems and Management, Computer Vision and Pattern Recognition, Ocean Engineering and Hardware and Architecture, having authored 29 papers that have together received 580 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (12 papers), Distributed and Parallel Computing Systems (12 papers), Advanced Data Storage Technologies (4 papers), Medical Image Segmentation Techniques (3 papers), Reservoir Engineering and Simulation Methods (3 papers), Embedded Systems Design Techniques (2 papers), Real-Time Systems Scheduling (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Information Systems and Management (316 citations), Computer Networks and Communications (382 citations), Information Systems (224 citations), Hardware and Architecture (57 citations) and Environmental Engineering (52 citations). Jun Qin has collaborated with scholars based in China and Austria. Frequent co-authors include Thomas Fahringer, Radu Prodan, Rubing Duan, Alex Villazón, Hong‐Linh Truong, Stefan Podlipnig, Mumtaz Siddiqui, Yanlan Wu, Haochen Zhu and Lu Qi. Their work appears in journals such as International Journal of Human-Computer Interaction, Expert Systems with Applications, Measurement, Multimedia Tools and Applications and Neural Networks.

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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