B. Shi

405 citations
35 papers · 203 · h-index 9

Impact in

Papers in

B. Shi

30 papers receiving 189 citations

Peers

B. Shi
Comparison fields: 5 of 78
  • Modeling and Simulation 34
  • Applied Mathematics 64
  • Numerical Analysis 27
  • Public Health, Environmental and Occupational Health 96
  • Fuel Technology 2
Replace A. K. Tripathy with:
A. K. Tripathy India
Gunnar Gunnarsson Iceland
Alejandro F. Ramı́rez Chile
Arnab Bandyopadhyay Germany
Rachel K. Redmann United States
A.B. Feldman United States
Shuntong Kang China
Neel Patel United States
Pooja Khamar India
Roberta De Vito United States
B. Shi relative to A. K. Tripathy India A. K. Tripathy's profile →
Citations per field
00.5×3.4×
A. K. Tripathy · 1×
Citations per year

Countries citing papers authored by B. Shi

Since Specialization
Citations

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

Fields of papers citing papers by B. Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200346
2 200914
3 200711
4 199611
5 202011
6 202011
7 201910
8 202210
9 20099
10 20048
11 19968
12 20217
13 19967
14 20026
15 20214
16 20004
17 20014
18 20223
19 20203
20 20212

About B. Shi

B. Shi is a scholar working on Public Health, Environmental and Occupational Health, Applied Mathematics, Molecular Biology, Epidemiology and Modeling and Simulation, having authored 35 papers that have together received 203 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (12 papers), Nonlinear Differential Equations Analysis (10 papers), Fractional Differential Equations Solutions (4 papers), Advanced Differential Equations and Dynamical Systems (4 papers), Natural product bioactivities and synthesis (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), advanced mathematical theories (2 papers) and Antifungal resistance and susceptibility (2 papers). The work is most often cited by research in Modeling and Simulation (34 citations), Applied Mathematics (64 citations), Numerical Analysis (27 citations), Public Health, Environmental and Occupational Health (96 citations) and Fuel Technology (2 citations). B. Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shujie Yang, Yu Liu, Zhi Xia, Jianshe Yu, Zhe Wang, Xianghua Zeng, Xiaoqin Zhou, Xiaopeng Li, C A Ross and W. W. Smith. Their work appears in journals such as Computers & Mathematics with Applications, Journal of Mathematical Analysis and Applications, Applied Mathematics and Computation, Food Research International and Medicine.

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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