Hai Wan

830 citations
53 papers · 564 · h-index 13

Impact in

Papers in

Hai Wan

45 papers receiving 554 citations

Peers

Hai Wan
Comparison fields: 5 of 60
  • Hardware and Architecture 138
  • Computer Networks and Communications 286
  • Industrial and Manufacturing Engineering 62
  • Geology 31
  • Media Technology 45
Replace Neng Hou with:
Neng Hou China
He Guo China
Chenyang Zhu China
Marco A. Wehrmeister Brazil
Chenyang Lu United States
Refik Samet Türkiye
Jie Yu China
D.H.C. Du United States
Pedro J. de Rezende Brazil
Giorgio Buttazzo Italy
Hai Wan relative to Neng Hou China Neng Hou's profile →
Citations per field
00.5×10.5×
Neng Hou · 1×
Citations per year

Countries citing papers authored by Hai Wan

Since Specialization
Citations

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

Fields of papers citing papers by Hai Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202068
2 202150
3 201749
4 201445
5 201941
6 201938
7 201133
8 201832
9 201826
10 202326
11 202421
12 202117
13 201715
14 202012
15 200911
16 20139
17 20217
18 20205
19 20185
20 20185

About Hai Wan

Hai Wan is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 53 papers that have together received 564 indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (16 papers), Network Time Synchronization Technologies (14 papers), Petri Nets in System Modeling (9 papers), Formal Methods in Verification (7 papers), Interconnection Networks and Systems (7 papers), Embedded Systems Design Techniques (5 papers), Software-Defined Networks and 5G (4 papers) and Advanced Software Engineering Methodologies (3 papers). The work is most often cited by research in Hardware and Architecture (138 citations), Computer Networks and Communications (286 citations), Industrial and Manufacturing Engineering (62 citations), Geology (31 citations) and Media Technology (45 citations). Hai Wan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xibin Zhao, Yue Gao, Ming Gu, Xiaoyu Song, Zonghui Li, Dechen Zhan, Sukun Zhang, Yanfen Xu, Yangdong Deng and Siqi Li. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Tsinghua Science & Technology, IEEE Transactions on Industrial Electronics and Radiation Measurements.

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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