Hong Mo

40 papers receiving 405 citations

Peers

Hong Mo
Comparison fields: 5 of 76
  • Health Informatics 17
  • Artificial Intelligence 198
  • Control and Systems Engineering 109
  • Management Science and Operations Research 56
  • Statistics and Probability 37
Replace Mohamadtaghi Rahimi with:
Mohamadtaghi Rahimi Iran
Devinder Kaur United States
Tuve Löfström Sweden
Georgios Kostopoulos Greece
Runmei Li China
Syibrah Naim Malaysia
Kfir Y. Levy Israel
Chengwei Su Taiwan
Ali Louati Saudi Arabia
John MacIntyre United Kingdom
Hong Mo relative to Mohamadtaghi Rahimi Iran Mohamadtaghi Rahimi's profile →
Citations per field
00.5×6.6×
Mohamadtaghi Rahimi · 1×
Citations per year

Countries citing papers authored by Hong Mo

Since Specialization
Citations

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

Fields of papers citing papers by Hong Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hong Mo, 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 Hong Mo Line = papers co-authored together Hong Mo 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 201476
2 202241
3 202339
4 201937
5 200930
6 201520
7 202119
8 201618
9 201914
10 201214
11 201911
12 201211
13 202010
14
Stabilities of Linguistic Dynamic Systems Based on Interval Type-2 Fuzzy Sets
20118
15 20198
16 20228
17 20216
18 20246
19 20245
20 20183

About Hong Mo

Hong Mo is a scholar working on Artificial Intelligence, Control and Systems Engineering, Building and Construction, Computational Theory and Mathematics and Automotive Engineering, having authored 44 papers that have together received 413 indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (19 papers), Rough Sets and Fuzzy Logic (7 papers), Traffic Prediction and Management Techniques (7 papers), Neural Networks and Applications (6 papers), Multi-Criteria Decision Making (5 papers), Advanced Decision-Making Techniques (4 papers), Evaluation Methods in Various Fields (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). The work is most often cited by research in Health Informatics (17 citations), Artificial Intelligence (198 citations), Control and Systems Engineering (109 citations), Management Science and Operations Research (56 citations) and Statistics and Probability (37 citations). Hong Mo has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Fei‐Yue Wang, Runmei Li, Min Zhou, Dongrui Wu, Lingxi Li, Rui Qin, Juanjuan Li, Jing Zhu, Bin Hu and Tao Wang. Their work appears in journals such as International Journal of Fuzzy Systems, IEEE Transactions on Computational Social Systems, IEEE/CAA Journal of Automatica Sinica, IEEE Journal of Radio Frequency Identification and Information Sciences.

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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