Bokai Wang

42 papers receiving 695 citations

Peers

Bokai Wang
Comparison fields: 5 of 151
  • Emergency Medical Services 22
  • Health Informatics 4
  • Cancer Research 40
  • Pulmonary and Respiratory Medicine 82
  • Statistics and Probability 22
Replace Junyong In with:
Junyong In South Korea
Prashant Kadam Belgium
Yiliang Zhu United States
Dany Doiron Canada
Võ Trương Như Ngọc Vietnam
Sumona Mondal United States
Gaurav Pandey India
Ceyhan Ceran Serdar Türkiye
Farid Abolhassani Iran
Arthur T. Johnson United States
Bokai Wang relative to Junyong In South Korea Junyong In's profile →
Citations per field
00.5×4.4×
Junyong In · 1×
Citations per year

Countries citing papers authored by Bokai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Bokai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017158
2 201496
3 201870
4 201767
5 201735
6 202024
7 201724
8 202020
9 201819
10 201916
11 201815
12 201914
13 201312
14 201511
15 202111
16 202010
17
Design and experiment of type 2ZGF-2 duplex sweet potato transplanter
20169
18 20199
19 20228
20 20228

About Bokai Wang

Bokai Wang is a scholar working on Mechanical Engineering, Plant Science, Statistics and Probability, Civil and Structural Engineering and Pulmonary and Respiratory Medicine, having authored 45 papers that have together received 706 indexed citations. Recurring topics across this work include Agricultural Engineering and Mechanization (7 papers), Soil Mechanics and Vehicle Dynamics (6 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Statistical Methods in Clinical Trials (4 papers), Diabetes and associated disorders (3 papers), Statistical Methods and Inference (3 papers) and Advanced Causal Inference Techniques (3 papers). The work is most often cited by research in Emergency Medical Services (22 citations), Health Informatics (4 citations), Cancer Research (40 citations), Pulmonary and Respiratory Medicine (82 citations) and Statistics and Probability (22 citations). Bokai Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Changyong Feng, Xin Tu, Drew Fralick, Manfei Xu, Hongyue Wang, Hongyue Wang, Guang Ning, Jie Gao, Jie Hong and Ruixin Liu. Their work appears in journals such as General Psychiatry, Journal of Diabetes, World Journal of Urology, Journal of Clinical Oncology and Microbiome.

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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