Bing Hao

439 total citations
28 papers, 351 citations indexed

About

Bing Hao is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Mechanics of Materials. According to data from OpenAlex, Bing Hao has authored 28 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Aerospace Engineering, 10 papers in Computer Vision and Pattern Recognition and 10 papers in Mechanics of Materials. Recurrent topics in Bing Hao's work include Cavitation Phenomena in Pumps (10 papers), Robotic Path Planning Algorithms (10 papers) and Turbomachinery Performance and Optimization (6 papers). Bing Hao is often cited by papers focused on Cavitation Phenomena in Pumps (10 papers), Robotic Path Planning Algorithms (10 papers) and Turbomachinery Performance and Optimization (6 papers). Bing Hao collaborates with scholars based in China and Canada. Bing Hao's co-authors include Shuliang Cao, Lei Tan, Baoshan Zhu, Zheping Yan, Yuming Wang, Lü Li, Qi Wang, Wei Zhang, Qi Yuan and Simon X. Yang and has published in prestigious journals such as PLoS ONE, Sustainability and Ocean Engineering.

In The Last Decade

Bing Hao

28 papers receiving 341 citations

Peers

Bing Hao

CSE

CVPR

Luciano E. Chiang Chile

Anwen Wang China

James W. Kamman United States

Zhengyu Zhang China

Leonard Ziemiański Poland

A. Rezayat Belgium

Scott Fish United States

Hailiang Sun China

Qiuhai Lu China

Luciano E. Chiang Chile

Bing Hao

129 ×0.6

98 ×0.5

162 ×1.6

CSE

49 ×0.5

37 ×0.4

CVPR

Citations per year, relative to Bing Hao Bing Hao (= 1×) peers Luciano E. Chiang

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-authorship network of co-authors of Bing Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Bing Hao. A scholar is included among the top collaborators of Bing Hao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bing Hao. Bing Hao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hao, Bing, et al.. (2023). A Review of Intelligence-Based Vehicles Path Planning. SAE International journal of commercial vehicles. 16(4). 329–339. 5 indexed citations

Hao, Bing, et al.. (2023). A search and rescue robot search method based on flower pollination algorithm and Q-learning fusion algorithm. PLoS ONE. 18(3). e0283751–e0283751. 4 indexed citations

Hao, Bing, et al.. (2023). A path planning approach for unmanned surface vehicles based on dynamic and fast Q-learning. Ocean Engineering. 270. 113632–113632. 44 indexed citations

Hao, Bing, et al.. (2022). A path planning approach for mobile robots using short and safe Q-learning. PLoS ONE. 17(9). e0275100–e0275100. 8 indexed citations

Hao, Bing, et al.. (2022). A Path-Planning Approach Based on Potential and Dynamic Q-Learning for Mobile Robots in Unknown Environment. Computational Intelligence and Neuroscience. 2022. 1–12. 9 indexed citations

Hao, Bing, et al.. (2022). Experimental Analysis on Mechanical Characteristics of Foundation Soil in Rift Valley Area of Kenya Nairobi-Malaba Railway. Frontiers in Earth Science. 10. 3 indexed citations

Zhou, Zhenghua, et al.. (2020). A stable implementation measure of multi-transmitting formula in the numerical simulation of wave motion. PLoS ONE. 15(12). e0243979–e0243979. 2 indexed citations

Hao, Bing & Zheping Yan. (2018). RECOVERY PATH PLANNING FOR AN AGRICULTURAL MOBILE ROBOT BY DUBINS-RRT* ALGORITHM. International Journal of Robotics and Automation. 33(2). 5 indexed citations

Yan, Zheping, Bing Hao, Wei Zhang, & Simon X. Yang. (2016). DUBINS-RRT PATH PLANNING AND HEADING-VECTOR CONTROL GUIDANCE FOR A UUV RECOVERY. International Journal of Robotics and Automation. 31(3). 7 indexed citations

10.

Hao, Bing & Shuliang Cao. (2014). Experimental study of the influence of flow passage subtle variation on mixed-flow pump performance. Chinese Journal of Mechanical Engineering. 27(3). 615–621. 7 indexed citations

11.

Tan, Lei, Baoshan Zhu, Shuliang Cao, Bing Hao, & Yuming Wang. (2014). Influence of blade wrap angle on centrifugal pump performance by numerical and experimental study. Chinese Journal of Mechanical Engineering. 27(1). 171–177. 79 indexed citations

12.

Yan, Zheping, et al.. (2014). Movement Control in Recovering UUV Based on Two-Stage Discrete T-S Fuzzy Model. Discrete Dynamics in Nature and Society. 2014. 1–11. 1 indexed citations

13.

Hao, Bing, Shuliang Cao, Lei Tan, & Baoshan Zhu. (2013). Effects of meridional flow passage shape on hydraulic performance of mixed-flow pump impellers. Chinese Journal of Mechanical Engineering. 26(3). 469–475. 29 indexed citations

14.

Hao, Bing & Shuliang Cao. (2013). Multi-parameter optimization design, numerical simulation and performance test of mixed-flow pump impeller. Science China Technological Sciences. 56(9). 2194–2206. 22 indexed citations

15.

Hao, Bing & Shuliang Cao. (2013). Parametrization of blade leading and trailing edge positions and its influence on mixed-flow pump performance. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 228(4). 703–714. 8 indexed citations

16.

Hao, Bing & Shuliang Cao. (2013). Three-dimensional design method for mixed-flow pump blades with controllable blade wrap angle. Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy. 227(5). 567–584. 12 indexed citations

17.

Hao, Bing, et al.. (2012). Experimental study of the effect of blade tip clearance and blade angle error on the performance of mixed-flow pump. Science China Technological Sciences. 56(2). 293–298. 25 indexed citations

18.

Hao, Bing & Shuliang Cao. (2011). Optimal Design of Mixed-Flow Pump Impeller Based on Direct Inverse Problem Iteration and Genetic Algorithm. ASME-JSME-KSME 2011 Joint Fluids Engineering Conference: Volume 1, Symposia – Parts A, B, C, and D. 803–810. 4 indexed citations

19.

Hao, Bing, et al.. (2010). The collision-free motion of robot with Fuzzy neural network. 219–222. 3 indexed citations

20.

Hao, Bing, et al.. (2008). Self-Organizing Neural Networks for Simultaneous Localization and Mapping of Indoor Mobile Robots. 115–118. 4 indexed citations

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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