Song‐Hai Wu

3.3k citations
95 papers · 3.0k · h-index 32

Impact in

Papers in

Song‐Hai Wu

90 papers receiving 3.0k citations

Peers

Song‐Hai Wu
Comparison fields: 5 of 109
  • Renewable Energy, Sustainability and the Environment 957
  • Water Science and Technology 604
  • Environmental Chemistry 389
  • Inorganic Chemistry 466
  • Materials Chemistry 1.1k
Replace Shao‐Yi Jia with:
Shao‐Yi Jia China
Jing Huang China
Zhenghao Fei China
Xukai Li China
Qin Guo China
Mário César Guerreiro Brazil
Sok Kim South Korea
Michela Sturini Italy
Duyen Thi Cam Nguyen Vietnam
Song‐Hai Wu relative to Shao‐Yi Jia China Shao‐Yi Jia's profile →
Citations per field
00.5×1.5×
Shao‐Yi Jia · 1×
Citations per year

Countries citing papers authored by Song‐Hai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Song‐Hai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013199
2 2014193
3 2020156
4 2015140
5 2010138
6 2014136
7 2014127
8 201381
9 201572
10 201372
11 201166
12 201365
13 201362
14 202162
15 201360
16 201657
17 201355
18 201554
19 201349
20 201147

About Song‐Hai Wu

Song‐Hai Wu is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment, Environmental Chemistry, Water Science and Technology and Organic Chemistry, having authored 95 papers that have together received 3.0k indexed citations. Recurring topics across this work include Arsenic contamination and mitigation (19 papers), Advanced Photocatalysis Techniques (16 papers), Mine drainage and remediation techniques (15 papers), Iron oxide chemistry and applications (14 papers), Metal-Organic Frameworks: Synthesis and Applications (12 papers), Catalytic Processes in Materials Science (12 papers), Advanced oxidation water treatment (9 papers) and Environmental remediation with nanomaterials (7 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (957 citations), Water Science and Technology (604 citations), Environmental Chemistry (389 citations), Inorganic Chemistry (466 citations) and Materials Chemistry (1.1k citations). Song‐Hai Wu has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Shao‐Yi Jia, Xu Han, Hai‐Tao Ren, Yong Liu, Fengxiang Qin, Jia Song, Feifei Wang, Yong Liu, Yanyan Wang and Jingyu Ran. Their work appears in journals such as Materials Letters, Industrial & Engineering Chemistry Research, Journal of Hazardous Materials, Chemosphere and Langmuir.

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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