Chen‐Fa Wu

26 papers receiving 707 citations

Peers

Chen‐Fa Wu
Comparison fields: 5 of 54
  • Global and Planetary Change 245
  • Water Science and Technology 59
  • Environmental Engineering 32
  • Ecological Modeling 4
  • Management, Monitoring, Policy and Law 17
Replace Bhopal Pandeya with:
Bhopal Pandeya United Kingdom
Janina Kleemann Germany
Monalisa Chatterjee United States
Enoch Bessah Ghana
Weixin Ou China
M. Shah Alam Khan Bangladesh
Yung‐Chieh Wang Taiwan
Bin Fu China
Xian Cheng China
Chen‐Fa Wu relative to Bhopal Pandeya United Kingdom Bhopal Pandeya's profile →
Citations per field
00.5×1.5×2×2.3×
Bhopal Pandeya · 1×
Citations per year

Countries citing papers authored by Chen‐Fa Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Fa Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Fa Wu. 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 Chen‐Fa Wu. The network helps show where Chen‐Fa Wu may publish in the future.

Co-authors

The 21 scholars most cited alongside Chen‐Fa Wu, 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 Chen‐Fa Wu Line = papers co-authored together Chen‐Fa Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010171
2 2006151
3 2014102
4 201053
5 200626
6 201123
7 201421
8 202121
9 202119
10 201117
11 201317
12 201517
13 202215
14 202112
15 202212
16 20108
17 20237
18 20136
19 20176
20 20246

About Chen‐Fa Wu

Chen‐Fa Wu is a scholar working on Global and Planetary Change, Nature and Landscape Conservation, Environmental Engineering, Pollution and Atmospheric Science, having authored 28 papers that have together received 726 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (7 papers), Urban Agriculture and Sustainability (1 paper), Urban Heat Island Mitigation (1 paper), Climate change impacts on agriculture (1 paper), Urban Green Space and Health (1 paper), Amphibian and Reptile Biology (1 paper), Heavy metals in environment (1 paper) and Tree Root and Stability Studies (1 paper). The work is most often cited by research in Global and Planetary Change (245 citations), Water Science and Technology (59 citations), Environmental Engineering (32 citations), Ecological Modeling (4 citations) and Management, Monitoring, Policy and Law (17 citations). Chen‐Fa Wu has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include Yu‐Pin Lin, Peter H. Verburg, Hone‐Jay Chu, Nien-Ming Hong, Pei-Jung Wu, Li-Chi Chiang, Tao Huang, Tsun‐Kuo Chang, Chingwen Cheng and Yiting Wu. Their work appears in journals such as International Journal of Environmental Research and Public Health, Sustainability, Ecological Indicators, Landscape and Urban Planning and Journal of Environmental Management.

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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