Shaohan Hu

4.3k citations
65 papers · 1.9k indexed · 1 hit paper · h-index 20

Impact in

Papers in

Shaohan Hu

64 papers receiving 1.8k citations

Hit Papers

DeepSense 2017 · 463 citations
4632017202620202023100200300400

Peers

Shaohan Hu
Comparison fields: 5 of 108
  • Computer Science Applications 459
  • Transportation 321
  • Computer Vision and Pattern Recognition 562
  • Human-Computer Interaction 109
  • Computer Networks and Communications 432
Replace Zhu Wang with:
Zhu Wang China
Yuanqing Zheng Hong Kong
Mario Muñoz-Organero Spain
Shuochao Yao United States
Rajesh Krishna Balan Singapore
Giuseppe Cardone Italy
Guobin Shen China
Robert Harle United Kingdom
Panlong Yang China
Shaohan Hu relative to Zhu Wang China Zhu Wang's profile →
Citations per field
00.5×1.5×
Zhu Wang · 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-authorship network

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
#Work
1 20250
2 20242
3 202322
4 202232
5 202122
6 20212
7 20195
8
A Domain-agnostic, Noise-resistant Evolutionary Variational Quantum Eigensolver for Hardware-efficient Optimization in the Hilbert Space.
20193
9 201818
10 20172
11 201710
12
DeepSense
Hit paper breakdown →
2017463
13 20151
14
Pyro: a spatial-temporal big-data storage system
201518
15 201514
16 20151
17 20141
18 201440
19 201318
20
SmartRoad: A Crowd-Sourced Traffic Regulator Detection and Identification System
201320

About Shaohan Hu

Shaohan Hu is a scholar working on Computer Science Applications, Transportation, Computer Networks and Communications, Computer Vision and Pattern Recognition and Signal Processing, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (26 papers), Human Mobility and Location-Based Analysis (15 papers), Indoor and Outdoor Localization Technologies (15 papers), Context-Aware Activity Recognition Systems (10 papers), Quantum Computing Algorithms and Architecture (8 papers), IoT and Edge/Fog Computing (6 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 (459 citations), Transportation (321 citations), Computer Vision and Pattern Recognition (562 citations), Human-Computer Interaction (109 citations) and Computer Networks and Communications (432 citations). Shaohan Hu has collaborated with scholars based in United States, China and Finland. Frequent co-authors include Tarek Abdelzaher, Shuochao Yao, Yiran Zhao, Aston Zhang, Lü Su, Hengchang Liu, Hongyan Wang, Tanzeem Choudhury, Hong Lu and Andrew T. Campbell. Their work appears in journals such as IEEE Transactions on Mobile Computing, Computer, ACM Transactions on Sensor Networks, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Proceedings of the VLDB Endowment.

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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