Wei‐chi Ying

787 citations
34 papers · 631 · h-index 14

Impact in

Papers in

Wei‐chi Ying

33 papers receiving 604 citations

Peers

Wei‐chi Ying
Comparison fields: 5 of 64
  • Water Science and Technology 355
  • Industrial and Manufacturing Engineering 130
  • Environmental Chemistry 147
  • Pollution 133
  • Health, Toxicology and Mutagenesis 108
Replace Pengju Lei with:
Pengju Lei China
Michele Pagano Italy
Sehnaz Sule Kaplan‐Bekaroglu Türkiye
Myun-Joo Lee South Korea
Fares Al Momani Jordan
Jelena Molnar Jazić Serbia
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Citations per field
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Citations per year

Countries citing papers authored by Wei‐chi Ying

Since Specialization
Citations

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

Fields of papers citing papers by Wei‐chi Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei‐chi Ying. 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 Wei‐chi Ying. The network helps show where Wei‐chi Ying may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010173
2 200956
3 199041
4 201139
5 198637
6 201035
7 200735
8 200633
9 201024
10 198816
11 199015
12 198714
13 201613
14 200913
15 201313
16 201211
17 20129
18 20127
19
Bio-physicochemical adsorption model systems for wastewater treatment
20166
20 20076

About Wei‐chi Ying

Wei‐chi Ying is a scholar working on Industrial and Manufacturing Engineering, Water Science and Technology, Pollution, Biomedical Engineering and Environmental Engineering, having authored 34 papers that have together received 631 indexed citations. Recurring topics across this work include Water Quality Monitoring and Analysis (13 papers), Adsorption and biosorption for pollutant removal (9 papers), Wastewater Treatment and Nitrogen Removal (7 papers), Environmental remediation with nanomaterials (6 papers), Groundwater flow and contamination studies (5 papers), Water Treatment and Disinfection (4 papers), Microbial bioremediation and biosurfactants (3 papers) and Arsenic contamination and mitigation (3 papers). The work is most often cited by research in Water Science and Technology (355 citations), Industrial and Manufacturing Engineering (130 citations), Environmental Chemistry (147 citations), Pollution (133 citations) and Health, Toxicology and Mutagenesis (108 citations). Wei‐chi Ying has collaborated with scholars based in China and United States. Frequent co-authors include Wei Lin, Wenxin Jiang, Wandong Liu, Wei Zhang, Zhaofu Qiu, Yan Lv, Shuguang Lu, Xiaoxia Wang, Stanley A. Sojka and Wei Zhang. Their work appears in journals such as Journal of Hazardous Materials, Environmental Technology, Environmental Progress & Sustainable Energy, Journal of Environmental Engineering and Water Environment Research.

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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