Hang Wan

1.7k citations
52 papers · 1.4k · h-index 20

Impact in

Papers in

Hang Wan

46 papers receiving 1.4k citations

Peers

Hang Wan
Comparison fields: 5 of 124
  • Health, Toxicology and Mutagenesis 462
  • Environmental Chemistry 321
  • Pollution 264
  • Industrial and Manufacturing Engineering 145
  • Water Science and Technology 211
Replace Xiaoxiao Wang with:
Xiaoxiao Wang China
Jingwen Li China
Kei Nakagawa Japan
K. Sera Japan
Yuefeng Lu China
Thomas Höfer Germany
Yulu Tian China
Jingfu Wang China
Lars Hauer Larsen Denmark
Hang Wan relative to Xiaoxiao Wang China Xiaoxiao Wang's profile →
Citations per field
00.5×1.5×2.2×
Xiaoxiao Wang · 1×
Citations per year

Countries citing papers authored by Hang Wan

Since Specialization
Citations

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

Fields of papers citing papers by Hang Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012174
2 2022114
3 201399
4 201198
5 202287
6 201457
7 202253
8 201748
9 202346
10 201243
11 201340
12 201038
13 201434
14 200833
15 202229
16 202327
17 202124
18 202121
19 201420
20 202419

About Hang Wan

Hang Wan is a scholar working on Water Science and Technology, Health, Toxicology and Mutagenesis, Environmental Engineering, Nature and Landscape Conservation and Global and Planetary Change, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (8 papers), Hydrology and Watershed Management Studies (8 papers), Hydrological Forecasting Using AI (7 papers), Water Quality Monitoring Technologies (5 papers), Fluid Dynamics and Heat Transfer (5 papers), Per- and polyfluoroalkyl substances research (5 papers), Effects and risks of endocrine disrupting chemicals (5 papers) and Fluid Dynamics Simulations and Interactions (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (462 citations), Environmental Chemistry (321 citations), Pollution (264 citations), Industrial and Manufacturing Engineering (145 citations) and Water Science and Technology (211 citations). Hang Wan has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Chris K.C. Wong, Yanpeng Cai, Xi Wei, John P. Giesy, Ming Hung Wong, Zhifeng Yang, Rui Xu, P. Y. Leung, Yunfeng Zhao and Ckf Lee. Their work appears in journals such as Journal of Environmental Management, Journal of Hydrology, Marine Pollution Bulletin, Water and Journal of Contaminant Hydrology.

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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