Shaohan Hu

69 papers receiving 2.0k citations

Shaohan Hu's Hit Papers

DeepSense 2017 · 509 citations
5090+3+6Years since publication100200300400500

Peers

Shaohan Hu
Comparison fields: 5 of 113
  • Computer Science Applications 479
  • Transportation 335
  • Computer Vision and Pattern Recognition 622
  • Human-Computer Interaction 117
  • Computer Networks and Communications 466
Replace Yuanqing Zheng with:
Yuanqing Zheng Hong Kong
Shuochao Yao United States
Robert Harle United Kingdom
Guobin Shen China
Panlong Yang China
Jonathan Lester United States
Zhenjiang Li China
Jiadi Yu China
Wei Xi China
Shaohan Hu relative to Yuanqing Zheng Hong Kong Yuanqing Zheng's profile →
Citations per field
00.5×1.5×
Yuanqing Zheng · 1×
Citations per year

Countries citing papers authored by Shaohan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Shaohan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DeepSense
Hit paper breakdown →
2017509
2 2010180
3 2015159
4 2011142
5 201899
6 200556
7 201349
8 201445
9 201544
10 201943
11 201443
12 201842
13 201542
14 201441
15 201635
16 202234
17 202128
18 202324
19 201523
20 201722

About Shaohan Hu

Shaohan Hu is a scholar working on Computer Science Applications, Computer Networks and Communications, Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering, having authored 71 papers that have together received 2.1k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (27 papers), Human Mobility and Location-Based Analysis (15 papers), Indoor and Outdoor Localization Technologies (15 papers), Context-Aware Activity Recognition Systems (11 papers), Quantum Computing Algorithms and Architecture (8 papers), IoT and Edge/Fog Computing (7 papers), Cloud Computing and Resource Management (6 papers) and Quantum Information and Cryptography (6 papers). The work is most often cited by research in Computer Science Applications (479 citations), Transportation (335 citations), Computer Vision and Pattern Recognition (622 citations), Human-Computer Interaction (117 citations) and Computer Networks and Communications (466 citations). Shaohan Hu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Tarek Abdelzaher, Shuochao Yao, Yiran Zhao, Aston Zhang, Lü Su, Hengchang Liu, Hongyan Wang, Andrew T. Campbell, Hong Lu and Tanzeem Choudhury. Their work appears in journals such as Computer, IEEE Transactions on Mobile Computing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, ACM Transactions on Sensor Networks and IEEE Transactions on Parallel and Distributed Systems.

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.

Explore authors with similar magnitude of impact