Da Wang

160 papers receiving 5.4k citations

Da Wang's Hit Papers

Acid-engineered UiO-66(Ce): From the limitations of concealed MOF sites to catalytic excellence for rapid atrazine degradation 2025 · 38 citations
380Years since publication102030

Peers

Da Wang
Comparison fields: 5 of 151
  • Renewable Energy, Sustainability and the Environment 2.2k
  • Water Science and Technology 1.6k
  • Health, Toxicology and Mutagenesis 855
  • Environmental Chemistry 465
  • Materials Chemistry 1.7k
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Ping Sun China
Jeehyeong Khim South Korea
Tingting Liu China
Bo Jiang China
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Da Wang relative to Ping Sun China Ping Sun's profile →
Citations per field
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Citations per year

Countries citing papers authored by Da Wang

Since Specialization
Citations

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

Fields of papers citing papers by Da Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 163 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019295
2 2018286
3 2019248
4 2019173
5 2013171
6 2013168
7 2018150
8 2018135
9 2023112
10 2018110
11 2014103
12 2020102
13 2011100
14 202299
15 201988
16 201887
17 202085
18 201977
19 202171
20 201870

About Da Wang

Da Wang is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment, Water Science and Technology, Health, Toxicology and Mutagenesis and Biomedical Engineering, having authored 163 papers that have together received 5.4k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (41 papers), Advanced oxidation water treatment (35 papers), Catalytic Processes in Materials Science (16 papers), Arsenic contamination and mitigation (15 papers), Environmental remediation with nanomaterials (14 papers), Covalent Organic Framework Applications (10 papers), Air Quality and Health Impacts (9 papers) and Heavy Metal Exposure and Toxicity (8 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (2.2k citations), Water Science and Technology (1.6k citations), Health, Toxicology and Mutagenesis (855 citations), Environmental Chemistry (465 citations) and Materials Chemistry (1.7k citations). Da Wang has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Haodan Xu, Xiaohui Lu, Zhiqiao He, Jun Ma, Jun Ma, Tao Zhang, Zhiqiang Chen, Shuang Song, Guang‐Hui Dong and Miao Liu. Their work appears in journals such as Chemical Engineering Journal, Water Research, Journal of Hazardous Materials, Applied Catalysis B: Environmental and Chemosphere.

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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