Jun Jia

1.1k citations
70 papers · 658 · h-index 16

Impact in

Papers in

Jun Jia

66 papers receiving 635 citations

Peers

Jun Jia
Comparison fields: 5 of 84
  • Computer Vision and Pattern Recognition 201
  • Mechanical Engineering 249
  • General Materials Science 20
  • Media Technology 46
  • Aerospace Engineering 129
Replace Hong Zhu with:
Hong Zhu China
Yupeng Li China
В. Д. Белов Russia
Xuexi Zhang China
Xuan Bao United States
Xinyao Wang China
Tian Xia China
Sichao Fu China
Zheng Gong China
Xiaobai Chen China
Jun Jia relative to Hong Zhu China Hong Zhu's profile →
Citations per field
00.5×
Hong Zhu · 1×
Citations per year

Countries citing papers authored by Jun Jia

Since Specialization
Citations

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

Fields of papers citing papers by Jun Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202058
2 200551
3 200241
4 201337
5 201836
6 200128
7 200228
8 200027
9 201926
10 202225
11 201920
12 202319
13 200117
14 202015
15 202015
16 202315
17 200214
18
Modeling and simulation of the microstructure evolution during a cooling of immiscible alloys in the miscibility gap
200212
19 202211
20 20209

About Jun Jia

Jun Jia is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Information Systems, Aerospace Engineering and Materials Chemistry, having authored 70 papers that have together received 658 indexed citations. Recurring topics across this work include Aluminum Alloy Microstructure Properties (13 papers), QR Code Applications and Technologies (12 papers), Intermetallics and Advanced Alloy Properties (11 papers), Advanced Image and Video Retrieval Techniques (10 papers), Advanced Steganography and Watermarking Techniques (9 papers), Image and Video Quality Assessment (9 papers), Solidification and crystal growth phenomena (6 papers) and Advanced Image Processing Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (201 citations), Mechanical Engineering (249 citations), General Materials Science (20 citations), Media Technology (46 citations) and Aerospace Engineering (129 citations). Jun Jia has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Guangtao Zhai, Xiongkuo Min, Jingjie Guo, Zhongpai Gao, Xiaokang Yang, Yanqing Su, Hanliang Zhu, Hongsheng Ding, Jiahe Zhang and Hengzhi Fu. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Internet of Things Journal, ACM Transactions on Multimedia Computing Communications and Applications, Journal of Material Science and Technology and International Journal of Cast Metals Research.

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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