Hao Hao

629 citations
26 papers · 378 · h-index 9

Impact in

Papers in

Hao Hao

22 papers receiving 363 citations

Peers

Hao Hao
Comparison fields: 5 of 67
  • Software 65
  • Signal Processing 150
  • Computational Theory and Mathematics 84
  • Artificial Intelligence 169
  • Information Systems 108
Replace Xiaokang Qiu with:
Xiaokang Qiu United States
R. V. Levin Russia
Robert Rosebrugh Canada
Fanping Zeng China
Dominic Lucchetti United States
Herb Sutter United Kingdom
Xingyuan Chen China
Yu Yu China
Matthew LeGendre United States
Ichiro Hasuo Japan
Hao Hao relative to Xiaokang Qiu United States Xiaokang Qiu's profile →
Citations per field
00.5×4.2×
Xiaokang Qiu · 1×
Citations per year

Countries citing papers authored by Hao Hao

Since Specialization
Citations

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

Fields of papers citing papers by Hao Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011129
2 202265
3 202034
4 201332
5 202024
6 202022
7 202418
8 20228
9 20228
10 20247
11 20197
12 20216
13 20243
14 20253
15 20253
16 20222
17 20222
18 20251
19
Indexing Method for Moving Objects Based on Traffic Management
20051
20 20151

About Hao Hao

Hao Hao is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 26 papers that have together received 378 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (8 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Evolutionary Algorithms and Applications (6 papers), Security and Verification in Computing (2 papers), Advanced Malware Detection Techniques (2 papers), Gaze Tracking and Assistive Technology (1 paper), Data Management and Algorithms (1 paper) and Optimization and Search Problems (1 paper). The work is most often cited by research in Software (65 citations), Signal Processing (150 citations), Computational Theory and Mathematics (84 citations), Artificial Intelligence (169 citations) and Information Systems (108 citations). Hao Hao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Aimin Zhou, Wenliang Du, Yifei Wang, Tongbo Luo, Heng Yin, Hu Zhang, Hong Qian, Xiaoqun Zhang, Xiaofen Lu and Hui Wang. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Swarm and Evolutionary Computation, Nano Letters, Physical Review Accelerators and Beams and Science China Information Sciences.

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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