Chonghui Guo

108 papers receiving 2.2k citations

Chonghui Guo's Hit Papers

Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making 2016 · 312 citations
3120+3+6Years since publication100200300

Peers

Chonghui Guo
Comparison fields: 5 of 142
  • Management Science and Operations Research 780
  • Statistical and Nonlinear Physics 365
  • Health Information Management 113
  • Artificial Intelligence 847
  • Signal Processing 265
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Yaliang Li United States
Yevgeniy Vorobeychik United States
Xijin Tang China
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Pranab K. Muhuri India
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Countries citing papers authored by Chonghui Guo

Since Specialization
Citations

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

Fields of papers citing papers by Chonghui Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Managing Multigranular Linguistic Distribution Assessments in Large-Scale Multiattribute Group Decision Making
Hit paper breakdown →
2016312
2 2005151
3 2017109
4 2006102
5 200586
6 201786
7 201182
8 201473
9 201558
10 201448
11 202046
12 201045
13 200844
14 202343
15 201843
16 201641
17 201040
18 201438
19 201137
20 201834

About Chonghui Guo

Chonghui Guo is a scholar working on Artificial Intelligence, Management Science and Operations Research, Signal Processing, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 117 papers that have together received 2.3k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (17 papers), Machine Learning in Healthcare (15 papers), Complex Network Analysis Techniques (13 papers), Blind Source Separation Techniques (12 papers), Advanced Clustering Algorithms Research (11 papers), Rough Sets and Fuzzy Logic (10 papers), Time Series Analysis and Forecasting (10 papers) and Face and Expression Recognition (9 papers). The work is most often cited by research in Management Science and Operations Research (780 citations), Statistical and Nonlinear Physics (365 citations), Health Information Management (113 citations), Artificial Intelligence (847 citations) and Signal Processing (265 citations). Chonghui Guo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhen Zhang, Luis Martı́nez, Leilei Sun, Jingfeng Chen, Hailin Li, Zhilong Xiu, Bing Wang, Zhongzhi Zhang, Lili Rong and Wenyu Yu. Their work appears in journals such as Expert Systems with Applications, Physica A Statistical Mechanics and its Applications, Neural Processing Letters, Neurocomputing and Knowledge-Based Systems.

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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