Haiying Lin

42 papers receiving 801 citations

Peers

Haiying Lin
Comparison fields: 5 of 79
  • Health, Toxicology and Mutagenesis 269
  • Pollution 230
  • Oceanography 130
  • Water Science and Technology 141
  • Analytical Chemistry 68
Replace Wenjing Fu with:
Wenjing Fu China
Steffen Kümmel Germany
Isabelle Worms Switzerland
Yaoling Zhang China
Maria da Graça Gama Melão Brazil
Seunghun Kang South Korea
Francisco Javier Rodríguez Vidal Spain
Nobutake Nakatani Japan
Jianying Zhang China
W. Schmidt Germany
Haiying Lin relative to Wenjing Fu China Wenjing Fu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Haiying Lin

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200793
2 201570
3 202053
4 201049
5 201447
6 202145
7 201544
8 201631
9 201728
10 202125
11 201623
12 201922
13 200622
14 202321
15 202219
16 201919
17 201617
18 202017
19 202217
20 202117

About Haiying Lin

Haiying Lin is a scholar working on Health, Toxicology and Mutagenesis, Oceanography, Water Science and Technology, Pollution and Biomedical Engineering, having authored 45 papers that have together received 813 indexed citations. Recurring topics across this work include Mercury impact and mitigation studies (13 papers), Adsorption and biosorption for pollutant removal (8 papers), Marine and coastal plant biology (7 papers), Environmental remediation with nanomaterials (5 papers), Toxic Organic Pollutants Impact (5 papers), Heavy metals in environment (4 papers), Coastal wetland ecosystem dynamics (4 papers) and Gas Sensing Nanomaterials and Sensors (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (269 citations), Pollution (230 citations), Oceanography (130 citations), Water Science and Technology (141 citations) and Analytical Chemistry (68 citations). Haiying Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Tao Sun, Qiting Zuo, Shu Tao, Dongxing Yuan, Raymond M. Coveney, Yi Zhou, Xiaomei Zhang, Qingge Feng, Qingxiang Zhou and Shuyuan Huang. Their work appears in journals such as Marine Pollution Bulletin, Environmental Pollution, Colloids and Surfaces A Physicochemical and Engineering Aspects, The Science of The Total Environment and Journal of environmental chemical engineering.

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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