Ruochen Hao

20 papers receiving 294 citations

Peers

Ruochen Hao
Comparison fields: 5 of 63
  • Signal Processing 82
  • Computer Networks and Communications 163
  • Transportation 37
  • Artificial Intelligence 151
  • Automotive Engineering 48
Replace Tiehua Zhang with:
Tiehua Zhang Australia
Wassim Znaïdi France
Mahdi Dibaei Australia
Paulo H. L. Rettore Germany
Shili Xiang Singapore
Rafael Estepa Spain
Zhixiang He China
Mu Han China
Dimitrios Kosmanos Greece
Ruochen Hao relative to Tiehua Zhang Australia Tiehua Zhang's profile →
Citations per field
00.5×4.6×
Tiehua Zhang · 1×
Citations per year

Countries citing papers authored by Ruochen Hao

Since Specialization
Citations

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

Fields of papers citing papers by Ruochen Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020170
2 202130
3 202118
4 201818
5 202213
6 202310
7 20229
8 20228
9 20215
10 20244
11 20244
12 20214
13 20213
14 20242
15 20252
16 20222
17 20212
18 20251
19 20191
20 20251

About Ruochen Hao

Ruochen Hao is a scholar working on Control and Systems Engineering, Building and Construction, Transportation, Automotive Engineering and Computer Networks and Communications, having authored 21 papers that have together received 307 indexed citations. Recurring topics across this work include Traffic control and management (11 papers), Traffic Prediction and Management Techniques (9 papers), Transportation Planning and Optimization (8 papers), Autonomous Vehicle Technology and Safety (3 papers), Advanced Neural Network Applications (3 papers), Parallel Computing and Optimization Techniques (2 papers), Vehicle Dynamics and Control Systems (1 paper) and Advanced Queuing Theory Analysis (1 paper). The work is most often cited by research in Signal Processing (82 citations), Computer Networks and Communications (163 citations), Transportation (37 citations), Artificial Intelligence (151 citations) and Automotive Engineering (48 citations). Ruochen Hao has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Pengfei Sun, Qi Li, Jinpeng Chen, Pengju Liu, Chenxi Liu, Wanjing Ma, Chunhui Yu, Lin Li, Jiemin Xie and Bo Sun. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, IET Intelligent Transport Systems, Physica A Statistical Mechanics and its Applications, Transportation Research Part A Policy and Practice and Performance Evaluation.

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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