Wu Ting

1.9k citations
48 papers · 1.5k · h-index 20

Impact in

  • Pollution top 5%
    • Heavy metals in environment
    • Proteins in Food Systems
    • Polysaccharides Composition and Applications

Papers in

    • Heavy metals in environment 7
    • Microbial bioremediation and biosurfactants 5
    • Environmental remediation with nanomaterials 8

Wu Ting

43 papers receiving 1.5k citations

Peers

Wu Ting
Comparison fields: 5 of 133
  • Pollution 216
  • Food Science 273
  • Molecular Medicine 60
  • Aquatic Science 90
  • Biomaterials 148
Replace Leilei Chen with:
Leilei Chen China
Ashraf Atef Hatamleh Saudi Arabia
Natanamurugaraj Govindan Malaysia
Ammar A. Albalasmeh Jordan
Onkar Nath Tiwari India
Emad A. Shalaby Egypt
Soraya A. Sabry Egypt
Elda M. Melchor-Martínez Mexico
S. Karthick Raja Namasivayam India
Naeem Khan Pakistan
Wu Ting relative to Leilei Chen China Leilei Chen's profile →
Citations per field
00.5×1.5×2.0×
Leilei Chen · 1×
Citations per year

Countries citing papers authored by Wu Ting

Since Specialization
Citations

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

Fields of papers citing papers by Wu Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018229
2 2020202
3 2021185
4 2017172
5 2019106
6 2017103
7 202164
8 202143
9 201536
10 202034
11 202133
12 202132
13 202231
14 202230
15 201828
16 201725
17 202120
18 201920
19 202420
20 202319

About Wu Ting

Wu Ting is a scholar working on Pollution, Biomedical Engineering, Water Science and Technology, Public Health, Environmental and Occupational Health and Geochemistry and Petrology, having authored 48 papers that have together received 1.5k indexed citations. Recurring topics across this work include Environmental remediation with nanomaterials (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (7 papers), Heavy metals in environment (7 papers), Microbial bioremediation and biosurfactants (5 papers), Geochemistry and Elemental Analysis (4 papers), Seaweed-derived Bioactive Compounds (3 papers), Heavy Metal Exposure and Toxicity (3 papers) and Polysaccharides and Plant Cell Walls (3 papers). The work is most often cited by research in Pollution (216 citations), Food Science (273 citations), Molecular Medicine (60 citations), Aquatic Science (90 citations) and Biomaterials (148 citations). Wu Ting has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianhua Xie, Mingyue Shen, Daohui Lin, Yangzhi Liu, Jason C. White, Lihua Lin, Jun Yang, Xianxiang Chen, Lixin Huang and Yuanxing Wang. Their work appears in journals such as Environmental Science & Technology, Environmental Science Nano, Environmental Science and Pollution Research, Environmental Earth Sciences and Journal of Hazardous Materials.

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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