Hao Ying

7.8k citations
238 papers · 6.4k · h-index 45

Impact in

Papers in

Hao Ying

229 papers receiving 6.0k citations

Peers

Hao Ying
Comparison fields: 5 of 182
  • Statistics and Probability 967
  • Control and Systems Engineering 2.5k
  • Artificial Intelligence 3.2k
  • Computational Theory and Mathematics 1.1k
  • Toxicology 123
Replace Plamen Angelov with:
Plamen Angelov United Kingdom
Seoung Bum Kim South Korea
Lixin Wang China
Leszek Rutkowski Poland
L.-X. Wang United States
Hans Hellendoorn Netherlands
Imre J. Rudas Hungary
Jianjun Shi United States
Dan Simon United States
Dimiter Driankov Sweden
Hao Ying relative to Plamen Angelov United Kingdom Plamen Angelov's profile →
Citations per field
00.5×20×40×61.5×
Plamen Angelov · 1×
Citations per year

Countries citing papers authored by Hao Ying

Since Specialization
Citations

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

Fields of papers citing papers by Hao Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 238 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990387
2 2000248
3 2014201
4 1998200
5 2002193
6 1995167
7 1994165
8 2007155
9 2000150
10 1998138
11 2010133
12 1993132
13 1994113
14 2006108
15 1998104
16 1999101
17 199391
18 198984
19 200783
20 199282

About Hao Ying

Hao Ying is a scholar working on Artificial Intelligence, Control and Systems Engineering, Statistics and Probability, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 238 papers that have together received 6.4k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (83 papers), Fuzzy Systems and Optimization (48 papers), Neural Networks and Applications (42 papers), Petri Nets in System Modeling (28 papers), Formal Methods in Verification (21 papers), Fault Detection and Control Systems (18 papers), Advanced Control Systems Design (17 papers) and Pharmacovigilance and Adverse Drug Reactions (14 papers). The work is most often cited by research in Statistics and Probability (967 citations), Control and Systems Engineering (2.5k citations), Artificial Intelligence (3.2k citations), Computational Theory and Mathematics (1.1k citations) and Toxicology (123 citations). Hao Ying has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Feng Lin, James J. Buckley, William Siler, Fazal Syed, Guanrong Chen, Xinyu Du, Haibo Zhou, Yongsheng Ding, Shaolong Shu and Louis C. Sheppard. Their work appears in journals such as Automatica, IEEE Transactions on Fuzzy Systems, Information Sciences, IEEE Transactions on Cybernetics and Journal of Intelligent & Fuzzy 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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