Liu Chang

36 papers receiving 299 citations

Peers

Liu Chang
Comparison fields: 5 of 103
  • Geology 27
  • Information Systems and Management 29
  • Energy Engineering and Power Technology 9
  • General Economics, Econometrics and Finance 23
  • Environmental Engineering 30
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Su United States
Wei Lo Taiwan
Pan Gong China
M. Blind Netherlands
John Steele United Kingdom
Dasapta Erwin Irawan Indonesia
Xiaoliang Jia China
Lingxian Zhang China
Sergio Molina Spain
Liu Chang relative to Su United States Su's profile →
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Citations per year

Countries citing papers authored by Liu Chang

Since Specialization
Citations

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

Fields of papers citing papers by Liu Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200244
2 201844
3 202234
4 201930
5 200825
6 202215
7 201814
8 201713
9 201812
10 201111
11
Perceptions of unsolicited electronic mail or spam
200310
12 20178
13 20227
14 20206
15 20104
16 20184
17
Construction of fuzzy membership functions based on least squares fitting
20084
18 20253
19 20173
20 20213

About Liu Chang

Liu Chang is a scholar working on Sociology and Political Science, Health, Toxicology and Mutagenesis, Information Systems, Computer Vision and Pattern Recognition and General Economics, Econometrics and Finance, having authored 44 papers that have together received 318 indexed citations. Recurring topics across this work include International Business and FDI (2 papers), Air Quality and Health Impacts (2 papers), Sustainability and Ecological Systems Analysis (2 papers), Global trade and economics (2 papers), Risk and Safety Analysis (2 papers), Sexuality, Behavior, and Technology (2 papers), Geological and Geophysical Studies (2 papers) and Evaluation Methods in Various Fields (2 papers). The work is most often cited by research in Geology (27 citations), Information Systems and Management (29 citations), Energy Engineering and Power Technology (9 citations), General Economics, Econometrics and Finance (23 citations) and Environmental Engineering (30 citations). Liu Chang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Kirk P. Arnett, Xiaohua Yu, Xiaoqi Wang, Keyu Liu, Louis Brennan, Shuya Liu, Qiaoyuan Liu, Zhanyu Zhang, Xiang‐dong Li and Chuan Xu. Their work appears in journals such as Sustainability, Journal of Hazardous Materials, IEEE photonics journal, Bioscience Reports and Neural Networks.

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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