Bin Ju

4.2k citations
59 papers · 606 · h-index 13

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Viral gastroenteritis research and epidemiology

Papers in

Bin Ju

54 papers receiving 589 citations

Peers

Bin Ju
Comparison fields: 5 of 72
  • Infectious Diseases 306
  • Virology 24
  • Animal Science and Zoology 40
  • Hepatology 20
  • Health 21
Replace Xinliang Shen with:
Xinliang Shen China
Hannah D. Stacey Canada
Mary Shank-Retzlaff United States
Enyue Fang China
Sophie L. Winter Germany
Danhua Zhao China
Srijanee Das United States
Jenny Li United States
Sébastien Eymieux France
Thomas Broge United States
Bin Ju relative to Xinliang Shen China Xinliang Shen's profile →
Citations per field
00.5×3.5×
Xinliang Shen · 1×
Citations per year

Countries citing papers authored by Bin Ju

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021138
2 200631
3 202230
4 201229
5 200627
6 202123
7 202422
8 200619
9 202017
10 202215
11 202415
12 202314
13 202212
14 202412
15 202410
16
Integrating dual workfunction metal gates in CMOS
200610
17 202210
18 202210
19 202410
20 20189

About Bin Ju

Bin Ju is a scholar working on Infectious Diseases, Epidemiology, Electrical and Electronic Engineering, Molecular Biology and Virology, having authored 59 papers that have together received 606 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (22 papers), Semiconductor materials and devices (9 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers), Ferroelectric and Negative Capacitance Devices (7 papers), SARS-CoV-2 detection and testing (7 papers), HIV Research and Treatment (7 papers), COVID-19 Clinical Research Studies (6 papers) and Animal Virus Infections Studies (6 papers). The work is most often cited by research in Infectious Diseases (306 citations), Virology (24 citations), Animal Science and Zoology (40 citations), Hepatology (20 citations) and Health (21 citations). Bin Ju has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zheng Zhang, Xiangyang Ge, Qing Fan, Bing Zhou, Huimin Guo, Lin Cheng, Qiang Ding, Rui Zhang, Xuanling Shi and Ruoke Wang. Their work appears in journals such as Virology Journal, Emerging Microbes & Infections, Cell Reports, Nature Communications and Journal of Virology.

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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