Hao He

1.6k citations
46 papers · 945 · 1 hit paper · h-index 14

Impact in

Papers in

Hao He

42 papers receiving 913 citations

Hao He's Hit Papers

BLINKS 2007 · 345 citations
3450+6+12Years since publication100200300

Peers

Hao He
Comparison fields: 5 of 87
  • Signal Processing 505
  • Computer Networks and Communications 527
  • Information Systems 302
  • Computer Science Applications 61
  • Artificial Intelligence 331
Replace Bolun Wang with:
Bolun Wang United States
Federico Maggi Italy
Roksana Boreli Australia
Ming Xu China
Hongsong Zhu China
Quang Do United States
P. Santhi Thilagam India
Aaron Harwood Australia
Yuanshun Yao United States
Cheng Huang China
Hao He relative to Bolun Wang United States Bolun Wang's profile →
Citations per field
00.5×1.5×2.4×
Bolun Wang · 1×
Citations per year

Countries citing papers authored by Hao He

Since Specialization
Citations

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

Fields of papers citing papers by Hao He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
BLINKS
Hit paper breakdown →
2007345
2 2006146
3 200440
4 200534
5 201233
6 200530
7 202129
8 202326
9 202223
10 200421
11 202320
12 202120
13 201819
14 201917
15 200012
16 201810
17 200710
18 20239
19 20228
20 20228

About Hao He

Hao He is a scholar working on Information Systems, Computer Networks and Communications, Computer Science Applications, Signal Processing and Artificial Intelligence, having authored 46 papers that have together received 945 indexed citations. Recurring topics across this work include Software Engineering Research (15 papers), Open Source Software Innovations (9 papers), Software System Performance and Reliability (8 papers), Data Management and Algorithms (6 papers), Advanced Database Systems and Queries (6 papers), Software Engineering Techniques and Practices (5 papers), Wikis in Education and Collaboration (3 papers) and Land Use and Ecosystem Services (3 papers). The work is most often cited by research in Signal Processing (505 citations), Computer Networks and Communications (527 citations), Information Systems (302 citations), Computer Science Applications (61 citations) and Artificial Intelligence (331 citations). Hao He has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Haixun Wang, Philip S. Yu, Jun Yang, Minghui Zhou, Jun Yang, Jeffrey Xu Yu, Ke Yi, Roderick Melnik, Dagen Weng and Hong Zhou. Their work appears in journals such as Materials Today Chemistry, ACM Transactions on Software Engineering and Methodology, Mathematics and Computers in Simulation, Computer and Empirical Software Engineering.

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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