Jing Sha

1.3k citations
65 papers · 987 indexed · h-index 16

Impact in

Papers in

Jing Sha

60 papers receiving 967 citations

Peers

Jing Sha
Comparison fields: 5 of 130
  • Endocrinology 192
  • Molecular Medicine 72
  • Signal Processing 75
  • Aging 12
  • Surfaces, Coatings and Films 36
Replace Junjie Zhang with:
Junjie Zhang United States
Qian Xu United States
Kehong Liu China
Robert Chen United States
Le Xiao China
Yifan Wang China
Jiawei Wang China
Matthew A. B. Baker Australia
Jimin Wang United States
Yingjie Sun China
Jing Sha relative to Junjie Zhang United States Junjie Zhang's profile →
Citations per field
00.5×10×12.5×
Junjie Zhang · 1×
Citations per year

Countries citing papers authored by Jing Sha

Since Specialization
Citations

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

Fields of papers citing papers by Jing Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009167
2 201185
3 200679
4 200470
5 201059
6 201941
7 200538
8 200835
9 201228
10 202324
11 201223
12 201922
13 201520
14 201820
15 201018
16 200918
17 200415
18 201213
19 202213
20 200613

About Jing Sha

Jing Sha is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering, Information Systems and Computer Networks and Communications, having authored 65 papers that have together received 987 indexed citations. Recurring topics across this work include Advancements in Photolithography Techniques (13 papers), Nanofabrication and Lithography Techniques (6 papers), Semiconductor materials and devices (5 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers), Advanced Malware Detection Techniques (4 papers), Intelligent Tutoring Systems and Adaptive Learning (4 papers), Salmonella and Campylobacter epidemiology (4 papers) and Service-Oriented Architecture and Web Services (3 papers). The work is most often cited by research in Endocrinology (192 citations), Molecular Medicine (72 citations), Signal Processing (75 citations), Aging (12 citations) and Surfaces, Coatings and Films (36 citations). Jing Sha has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ashok K. Chopra, A. A. Fadl, Christopher K. Ober, Amy J. Horneman, Giovanni Suárez, Tatiana E. Erova, Johanna C. Sierra, Gary R. Klimpel, Cristi L. Galindo and David W. Niesel. Their work appears in journals such as Infection and Immunity, Journal of Materials Chemistry, Computer Networks, INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences and Chemistry of Materials.

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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