Hongyang Qu

1.8k citations
74 papers · 1.3k · h-index 19

Impact in

Papers in

Hongyang Qu

72 papers receiving 1.3k citations

Peers

Hongyang Qu
Comparison fields: 5 of 68
  • Software 298
  • Computational Theory and Mathematics 707
  • Artificial Intelligence 837
  • Management Information Systems 101
  • Transportation 57
Replace Franco Raimondi with:
Franco Raimondi United Kingdom
Till Mossakowski Germany
Andreas Bauer Germany
Pierre Flener Sweden
Panagiotis Katsaros Greece
Maurizio Gabbrielli Italy
Luigi Logrippo Canada
Paola Inverardi Italy
Manuel Carro Spain
João Saraiva Portugal
Hongyang Qu relative to Franco Raimondi United Kingdom Franco Raimondi's profile →
Citations per field
00.5×5.7×
Franco Raimondi · 1×
Citations per year

Countries citing papers authored by Hongyang Qu

Since Specialization
Citations

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

Fields of papers citing papers by Hongyang Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009231
2 2015154
3 201087
4 201180
5 201656
6 201349
7 201237
8 201035
9 201831
10 201830
11 201327
12 201026
13 201326
14 200825
15 201422
16 201421
17 200921
18 200620
19 200818
20 201517

About Hongyang Qu

Hongyang Qu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Software, Information Systems and Sociology and Political Science, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Formal Methods in Verification (45 papers), Logic, Reasoning, and Knowledge (23 papers), Multi-Agent Systems and Negotiation (15 papers), Software Testing and Debugging Techniques (11 papers), Software Reliability and Analysis Research (10 papers), Service-Oriented Architecture and Web Services (8 papers), Logic, programming, and type systems (8 papers) and Access Control and Trust (7 papers). The work is most often cited by research in Software (298 citations), Computational Theory and Mathematics (707 citations), Artificial Intelligence (837 citations), Management Information Systems (101 citations) and Transportation (57 citations). Hongyang Qu has collaborated with scholars based in United Kingdom, Canada and France. Frequent co-authors include Alessio Lomuscio, Franco Raimondi, Marta Kwiatkowska, David Parker, Gethin Norman, Jamal Bentahar, Monika Solanki, Rachida Dssouli, Vojtěch Forejt and Andrzej Mizera. Their work appears in journals such as Lecture notes in computer science, Theoretical Computer Science, Information and Computation, International Journal on Software Tools for Technology Transfer and IEEE Intelligent 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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