Jin Sha

1.3k citations
86 papers · 953 · h-index 16

Impact in

Papers in

Jin Sha

82 papers receiving 922 citations

Peers

Jin Sha
Comparison fields: 5 of 72
  • Computer Networks and Communications 371
  • Electrical and Electronic Engineering 525
  • Signal Processing 68
  • Computer Vision and Pattern Recognition 124
  • Artificial Intelligence 182
Replace Noriyuki Miura with:
Noriyuki Miura Japan
Jae‐Jin Lee South Korea
Lírida Naviner France
Hans Jürgen Mattausch Japan
Xiang Zhou United States
Minming Zhang China
Y. B. Zhao China
Vineet Sahula India
Kyungmin Kim South Korea
Lei Guan China
Jin Sha relative to Noriyuki Miura Japan Noriyuki Miura's profile →
Citations per field
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Noriyuki Miura · 1×
Citations per year

Countries citing papers authored by Jin Sha

Since Specialization
Citations

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

Fields of papers citing papers by Jin Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011124
2 201786
3 200348
4 200942
5 201635
6 200835
7 201534
8 201131
9 201630
10 200930
11 202430
12 201028
13 201425
14 199519
15 200919
16 201715
17 201415
18 202315
19 201715
20 200612

About Jin Sha

Jin Sha is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Biomedical Engineering and Molecular Biology, having authored 86 papers that have together received 953 indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (40 papers), Error Correcting Code Techniques (40 papers), Cooperative Communication and Network Coding (19 papers), DNA and Biological Computing (10 papers), Wireless Signal Modulation Classification (9 papers), Magnetic Field Sensors Techniques (4 papers), Radar Systems and Signal Processing (4 papers) and Coding theory and cryptography (3 papers). The work is most often cited by research in Computer Networks and Communications (371 citations), Electrical and Electronic Engineering (525 citations), Signal Processing (68 citations), Computer Vision and Pattern Recognition (124 citations) and Artificial Intelligence (182 citations). Jin Sha has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Zhongfeng Wang, Zhongfeng Wang, Chuan Zhang, Qi Jiang, Minglun Gao, Weiwei Xia, Y. W. Wang, Yanjun Fang, Li Li and Li Li. Their work appears in journals such as IEEE Transactions on Very Large Scale Integration (VLSI) Systems, IEEE Communications Letters, IEEE Transactions on Circuits & Systems II Express Briefs, IEEE Transactions on Circuits and Systems I Regular Papers and Journal of Sound and Vibration.

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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