Bing Hao

449 citations
28 papers · 361 · h-index 9

Impact in

Papers in

Bing Hao

28 papers receiving 351 citations

Peers

Bing Hao
Comparison fields: 5 of 36
  • Mechanics of Materials 219
  • Mechanical Engineering 185
  • Ocean Engineering 74
  • Civil and Structural Engineering 102
  • Computer Vision and Pattern Recognition 88
Replace Luciano E. Chiang with:
Luciano E. Chiang Chile
Naizhang Feng China
Hao Zuo China
Qiuhai Lu China
Priscilla Cerracchio United States
James W. Kamman United States
Ziemowit Dworakowski Poland
Bruce LeBlanc Netherlands
Sung-Sik Kang South Korea
Bing Hao relative to Luciano E. Chiang Chile Luciano E. Chiang's profile →
Citations per field
00.5×1.5×2.4×
Luciano E. Chiang · 1×
Citations per year

Countries citing papers authored by Bing Hao

Since Specialization
Citations

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

Fields of papers citing papers by Bing Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Bing 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 Bing Hao Line = papers co-authored together Bing Hao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201483
2 202346
3 201241
4 201329
5 201225
6 201322
7 201312
8 202210
9 20229
10 20138
11 20218
12 20167
13 20147
14 20147
15 20206
16 20235
17 20185
18 20234
19 20084
20 20164

About Bing Hao

Bing Hao is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials, Civil and Structural Engineering and Ocean Engineering, having authored 28 papers that have together received 361 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (10 papers), Cavitation Phenomena in Pumps (10 papers), Turbomachinery Performance and Optimization (6 papers), Underwater Vehicles and Communication Systems (5 papers), Hydraulic and Pneumatic Systems (5 papers), Robotics and Sensor-Based Localization (4 papers), Optimization and Search Problems (3 papers) and Water Systems and Optimization (3 papers). The work is most often cited by research in Mechanics of Materials (219 citations), Mechanical Engineering (185 citations), Ocean Engineering (74 citations), Civil and Structural Engineering (102 citations) and Computer Vision and Pattern Recognition (88 citations). Bing Hao has collaborated with scholars based in China and Canada. Frequent co-authors include Shuliang Cao, Lei Tan, Baoshan Zhu, Zheping Yan, Yuming Wang, Lü Li, Wei Zhang, Qi Yuan, Qi Wang and Simon X. Yang. Their work appears in journals such as Science China Technological Sciences, PLoS ONE, Chinese Journal of Mechanical Engineering, Frontiers in Earth Science and SAE International journal of commercial vehicles.

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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