Ze Wang

45 papers receiving 742 citations

Ze Wang's Hit Papers

BATMAN-TCM 2.0: an enhanced integrative database for known and predicted interactions between traditional Chinese medicine ingredients and target proteins 2023 · 101 citations
1010+1+2Years since publication255075100

Peers

Ze Wang
Comparison fields: 5 of 130
  • Transportation 133
  • Automotive Engineering 147
  • Marketing 76
  • Ocean Engineering 78
  • Fluid Flow and Transfer Processes 30
Replace Chunhui Zhang with:
Chunhui Zhang China
Sunil Pathak India
Mingmin Liu China
Zhihang Song United States
Hiroshi Takenaga Japan
Nan Ma China
Gen Li China
Xiaofei Ye China
Ze Wang relative to Chunhui Zhang China Chunhui Zhang's profile →
Citations per field
00.5×6.9×
Chunhui Zhang · 1×
Citations per year

Countries citing papers authored by Ze Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ze Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
BATMAN-TCM 2.0: an enhanced integrative database for known and predicted interactions between traditional Chinese medicine ingredients and target proteins
Hit paper breakdown →
2023101
2 201875
3 201972
4 201661
5 201650
6 201739
7 201934
8 202132
9 200832
10 200828
11 202023
12 201621
13 202318
14 202314
15 202414
16 202214
17 202313
18 202112
19 201712
20 20139

About Ze Wang

Ze Wang is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Biomedical Engineering, Plant Science and Computational Mechanics, having authored 48 papers that have together received 756 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Robotics and Sensor-Based Localization (5 papers), Transportation and Mobility Innovations (3 papers), Anomaly Detection Techniques and Applications (3 papers), Sharing Economy and Platforms (3 papers), Heat transfer and supercritical fluids (3 papers), Computational Drug Discovery Methods (3 papers) and Enhanced Oil Recovery Techniques (2 papers). The work is most often cited by research in Transportation (133 citations), Automotive Engineering (147 citations), Marketing (76 citations), Ocean Engineering (78 citations) and Fluid Flow and Transfer Processes (30 citations). Ze Wang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaowei Chen, Baojun Bai, Xiqun Chen, Ruisen Lin, Hongyu Zheng, Yongsheng Guo, Yan Yang, Zhixiang Chen, Baofang Fan and Yingjun Chi. Their work appears in journals such as Energy Conversion and Management, IEEE Transactions on Intelligent Vehicles, Science Robotics, SPE Journal and Applied Intelligence.

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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