Hang Wang

673 citations
25 papers · 410 · h-index 11

Impact in

Papers in

    • Mass Spectrometry Techniques and Applications 7
    • Analytical Chemistry and Chromatography 6
    • Advanced Proteomics Techniques and Applications 2
    • Metabolomics and Mass Spectrometry Studies 7

Hang Wang

24 papers receiving 404 citations

Peers

Hang Wang
Comparison fields: 5 of 96
  • Human-Computer Interaction 55
  • Computer Vision and Pattern Recognition 128
  • Spectroscopy 84
  • Geology 20
  • Toxicology 11
Replace Yanyan Wei with:
Yanyan Wei China
Xincheng Li China
Woo Sik Choi South Korea
Fenglei Wang China
G. Saravanan India
Hongbo Li China
Haoze Chen China
Lingpeng Kong China
Hang Wang relative to Yanyan Wei China Yanyan Wei's profile →
Citations per field
00.5×11×
Yanyan Wei · 1×
Citations per year

Countries citing papers authored by Hang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201779
2 201961
3 202150
4 202134
5 202133
6 201430
7 202217
8 202413
9 201512
10 202311
11 201710
12 20169
13 20177
14 20207
15 20196
16 20215
17 20165
18 20225
19 20234
20 20204

About Hang Wang

Hang Wang is a scholar working on Spectroscopy, Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics, having authored 25 papers that have together received 410 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Mass Spectrometry Techniques and Applications (7 papers), Analytical Chemistry and Chromatography (6 papers), 3D Shape Modeling and Analysis (4 papers), Adversarial Robustness in Machine Learning (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Forensic Toxicology and Drug Analysis (2 papers). The work is most often cited by research in Human-Computer Interaction (55 citations), Computer Vision and Pattern Recognition (128 citations), Spectroscopy (84 citations), Geology (20 citations) and Toxicology (11 citations). Hang Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bingbing Ni, Wanshan Liu, Shiyu Sun, Kun Qian, Jing Yang, Minghao Xu, Xinghao Chen, Hengkai Guo, Muhammad Bilal and Tahir Rasheed. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Separation Science, Scientific Reports, Process Safety and Environmental Protection and Forensic Toxicology.

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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