Jian Bing

54 papers receiving 2.6k citations

Jian Bing's Hit Papers

Candida auris: Epidemiology, biology, antifungal resistance, and virulence 2020 · 378 citations
3780+5+10Years since publication200400600

Peers

Jian Bing
Comparison fields: 5 of 147
  • Computational Mathematics 89
  • Infectious Diseases 968
  • Computer Vision and Pattern Recognition 758
  • Geology 174
  • Aerospace Engineering 585
Replace Oleg Kuybeda with:
Oleg Kuybeda United States
Gabriel A. Frank Israel
Paul Griffin Australia
Yunjin Lee South Korea
Rasmus Larsen Denmark
Tomoaki Yoshida Japan
Samuel Cheng United States
Zia U. Khan Kuwait
Olivier Romain France
Jian Bing relative to Oleg Kuybeda United States Oleg Kuybeda's profile →
Citations per field
00.5×10×20×30×43.5×
Oleg Kuybeda · 1×
Citations per year

Countries citing papers authored by Jian Bing

Since Specialization
Citations

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

Fields of papers citing papers by Jian Bing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Robust Point Set Registration Using Gaussian Mixture Models
Hit paper breakdown →
2010671
2
Candida auris: Epidemiology, biology, antifungal resistance, and virulence
Hit paper breakdown →
2020378
3 2005244
4 2007154
5 2007150
6 2018147
7 2018127
8 202062
9 200858
10 201753
11 200748
12 202345
13 200940
14 202436
15 202036
16 202132
17 200730
18 202427
19 202020
20 200920

About Jian Bing

Jian Bing is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 56 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (32 papers), Fungal Infections and Studies (24 papers), Fungal and yeast genetics research (6 papers), Advanced MRI Techniques and Applications (6 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Plant Pathogens and Fungal Diseases (5 papers), Advanced Vision and Imaging (5 papers) and Pneumocystis jirovecii pneumonia detection and treatment (4 papers). The work is most often cited by research in Computational Mathematics (89 citations), Infectious Diseases (968 citations), Computer Vision and Pattern Recognition (758 citations), Geology (174 citations) and Aerospace Engineering (585 citations). Jian Bing has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Baba C. Vemuri, Guanghua Huang, Han Du, Tianren Hu, Clarissa J. Nobile, Craig L. Ennis, Qiushi Zheng, Huizhen Yue, Thomas H. Mareci and Paul R. Carney. Their work appears in journals such as Emerging Microbes & Infections, Mycology: An International Journal on Fungal Biology, Antimicrobial Agents and Chemotherapy, PLoS Pathogens and PLoS Biology.

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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