Hao Pan

769 citations
72 papers · 474 indexed · 1 hit paper · h-index 12

Impact in

Papers in

Hao Pan

60 papers receiving 452 citations

Hit Papers

Large Language Models Empowered Autonomous Edge AI for Connected Intelligence 2024 · 74 citations
74202420262025204060

Peers

Hao Pan
Comparison fields: 5 of 75
  • Signal Processing 97
  • Human-Computer Interaction 30
  • Computer Vision and Pattern Recognition 103
  • Media Technology 42
  • Artificial Intelligence 135
Replace Oleg Starostenko with:
Oleg Starostenko Mexico
Junsheng Mu China
Vishnu Monn Baskaran Malaysia
Karsten Fyhn Denmark
Xiaoming Liu China
Chunli Wang China
Zhongjie Ba China
Qurban A. Memon United Arab Emirates
Jan Wieghardt Germany
Jaakko Suutala Finland
Hao Pan relative to Oleg Starostenko Mexico Oleg Starostenko's profile →
Citations per field
00.5×7.2×
Oleg Starostenko · 1×
Citations per year

Countries citing papers authored by Hao Pan

Since Specialization
Citations

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

Fields of papers citing papers by Hao Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
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17 20225
18 20209
19
Comparisons between open-loop and feedback controls based on a coherent quantum control model
20101
20 19974

About Hao Pan

Hao Pan is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition, Signal Processing, Media Technology and Information Systems, having authored 72 papers that have together received 474 indexed citations. Recurring topics across this work include User Authentication and Security Systems (8 papers), Speech and Audio Processing (7 papers), QR Code Applications and Technologies (7 papers), Advanced Steganography and Watermarking Techniques (7 papers), Bluetooth and Wireless Communication Technologies (6 papers), Video Surveillance and Tracking Methods (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Advanced Malware Detection Techniques (5 papers). The work is most often cited by research in Signal Processing (97 citations), Human-Computer Interaction (30 citations), Computer Vision and Pattern Recognition (103 citations), Media Technology (42 citations) and Artificial Intelligence (135 citations). Hao Pan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Yi‐Chao Chen, Guangtao Xue, Xiaoyu Ji, Thomas S. Huang, Zhi‐Pei Liang, Lei Guo, Bo Qi, Bailing Zhang, Jun Zhang and Dongsheng Li. Their work appears in journals such as IEEE Transactions on Mobile Computing, Computational Intelligence and Neuroscience, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, Annals of Cardiothoracic Surgery and Applied Optics.

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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