Jun Yue

885 citations
31 papers · 616 · h-index 11

Impact in

Papers in

Jun Yue

27 papers receiving 586 citations

Peers

Jun Yue
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 261
  • Media Technology 86
  • Analytical Chemistry 71
  • Water Science and Technology 97
  • Plant Science 167
Replace Prateek Gupta with:
Prateek Gupta India
Rongli Gai China
Guangzhao Tian China
Sunil Kumar Jha India
Jinrong He China
Zhaohui Jiang China
Baoxing Gu China
Xiaoyi Wang China
Jun Yue relative to Prateek Gupta India Prateek Gupta's profile →
Citations per field
00.5×5.4×
Prateek Gupta · 1×
Citations per year

Countries citing papers authored by Jun Yue

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Yue, 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 Yue Line = papers co-authored together Jun Yue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010213
2 202191
3 201761
4 201850
5 202035
6 201119
7 201817
8 202317
9 201216
10 201413
11 202412
12 201910
13 202110
14 20236
15 20185
16 20195
17 20205
18 20145
19 20234
20 20124

About Jun Yue

Jun Yue is a scholar working on Computer Vision and Pattern Recognition, Water Science and Technology, Molecular Biology, Plant Science and Artificial Intelligence, having authored 31 papers that have together received 616 indexed citations. Recurring topics across this work include Water Quality Monitoring Technologies (10 papers), Smart Agriculture and AI (5 papers), Identification and Quantification in Food (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Image Enhancement Techniques (2 papers), Service-Oriented Architecture and Web Services (2 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (261 citations), Media Technology (86 citations), Analytical Chemistry (71 citations), Water Science and Technology (97 citations) and Plant Science (167 citations). Jun Yue has collaborated with scholars based in China, Pakistan and United States. Frequent co-authors include Zhenbo Li, Zetian Fu, Lu Liu, Jing Wu, Ye Li, Ruohao Guo, Yizhe Wang, Chen Li, Ling Zhu and Zhiwang Zhang. Their work appears in journals such as Information Processing in Agriculture, Computers and Electronics in Agriculture, Mathematical and Computer Modelling, International journal of agricultural and biological engineering and IEEE Access.

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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