Hao He

1.5k citations
46 papers · 919 indexed · 1 hit paper · h-index 14

Impact in

Papers in

Hao He

41 papers receiving 885 citations

Hit Papers

BLINKS 2007 · 342 citations
3422007202620132019100200300

Peers

Hao He
Comparison fields: 5 of 91
  • Signal Processing 502
  • Computer Networks and Communications 526
  • Information Systems 298
  • Computer Science Applications 56
  • Artificial Intelligence 323
Replace Hongsong Zhu with:
Hongsong Zhu China
Quang Do United States
Aaron Harwood Australia
Andrea Pugliese Italy
P. Santhi Thilagam India
Cheng Huang China
Yuanshun Yao United States
William I. Grosky United States
Anil Madhavapeddy United Kingdom
Hao He relative to Hongsong Zhu China Hongsong Zhu's profile →
Citations per field
00.5×
Hongsong Zhu · 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-authorship network

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
#Work
1 20251
2 20253
3 20250
4 20240
5 20241
6 20243
7 20236
8 202316
9 20232
10 20231
11 20222
12 20225
13 202129
14 202118
15 201916
16 201810
17 20072
18 20027
19 200012
20 20005

About Hao He

Hao He is a scholar working on Computer Science Applications, Information Systems, Signal Processing, Computer Networks and Communications and Complementary and Manual Therapy, having authored 46 papers that have together received 919 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), Land Use and Ecosystem Services (3 papers) and Wikis in Education and Collaboration (3 papers). The work is most often cited by research in Signal Processing (502 citations), Computer Networks and Communications (526 citations), Information Systems (298 citations), Computer Science Applications (56 citations) and Artificial Intelligence (323 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, Jun Yang, Minghui Zhou, Jeffrey Xu Yu, Ke Yi, Roderick Melnik, Dagen Weng and Hong Zhou. Their work appears in journals such as Materials Today Chemistry, CrystEngComm, ACM Transactions on Software Engineering and Methodology, Scientific Reports and Mathematics and Computers in Simulation.

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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