Hao Pu

65 papers receiving 1.1k citations

Peers

Hao Pu
Comparison fields: 5 of 94
  • Industrial and Manufacturing Engineering 247
  • Civil and Structural Engineering 481
  • Building and Construction 295
  • Safety, Risk, Reliability and Quality 196
  • Transportation 125
Replace Taoran Song with:
Taoran Song China
Jianping Hu China
Reginald R. Souleyrette United States
Jyh‐Cherng Jong United States
Min-Wook Kang United States
Zhansheng Liu China
Koshy Varghese India
Yousef Shafahi Iran
Faridaddin Vahdatikhaki Netherlands
Yichuan Deng China
Hao Pu relative to Taoran Song China Taoran Song's profile →
Citations per field
00.5×
Taoran Song · 1×
Citations per year

Countries citing papers authored by Hao Pu

Since Specialization
Citations

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

Fields of papers citing papers by Hao Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201797
2 201681
3 201969
4 202061
5 201961
6 201855
7 202051
8 201846
9 202039
10 202039
11 202138
12 202134
13 202133
14 201332
15 202226
16 202124
17 202324
18 202323
19 202217
20 202217

About Hao Pu

Hao Pu is a scholar working on General Engineering, Safety, Risk, Reliability and Quality, Civil and Structural Engineering, Industrial and Manufacturing Engineering and Transportation, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Railway Engineering and Dynamics (22 papers), Infrastructure Maintenance and Monitoring (16 papers), Geotechnical Engineering and Analysis (12 papers), Remote Sensing and LiDAR Applications (5 papers), BIM and Construction Integration (5 papers), Simulation and Modeling Applications (5 papers), Civil and Geotechnical Engineering Research (5 papers) and Wildlife-Road Interactions and Conservation (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (247 citations), Civil and Structural Engineering (481 citations), Building and Construction (295 citations), Safety, Risk, Reliability and Quality (196 citations) and Transportation (125 citations). Hao Pu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Paul Schonfeld, Taoran Song, Jianping Hu, Xianbao Peng, Hong Zhang, Jiaxing Xiong, Wei Li, Hong Zhang, Xiaoqiang Zheng and Wei Li. Their work appears in journals such as Computer-Aided Civil and Infrastructure Engineering, IEEE Transactions on Intelligent Transportation Systems, Applied Soft Computing, Journal of Surveying Engineering and International Journal of Rail Transportation.

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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2026