Shi Pu

3.8k citations
99 papers · 2.6k · h-index 25

Impact in

Papers in

Shi Pu

89 papers receiving 2.5k citations

Peers

Shi Pu
Comparison fields: 5 of 140
  • Geology 870
  • Environmental Engineering 872
  • Space and Planetary Science 47
  • Computer Networks and Communications 636
  • Computational Mechanics 331
Replace Bo Chu Xu with:
Bo Chu Xu China
Raúl Martínez Morais Portugal
Mostafa Hassanalian United States
Yeting Zhang China
Pascal Müller Switzerland
Bijun Li China
Telmo Adão Portugal
Silvia Liberata Ullo Italy
Lei F. Tian United States
Zhen Liu China
Shi Pu relative to Bo Chu Xu China Bo Chu Xu's profile →
Citations per field
00.5×5×10×12.7×
Bo Chu Xu · 1×
Citations per year

Countries citing papers authored by Shi Pu

Since Specialization
Citations

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

Fields of papers citing papers by Shi Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009349
2 2011290
3 2020240
4 2020161
5
Automatic extraction of building features from terrestrial laser scanning
2006140
6 2022123
7 202181
8 202076
9
EXTRACTING WINDOWS FROM TERRESTRIAL LASER SCANNING
200772
10 201867
11 200958
12
AUTOMATIC EXTRACTION OF VERTICAL WALLS FROM MOBILE AND AIRBORNE LASER SCANNING DATA
200957
13 201453
14 202152
15 202247
16 202344
17 202244
18 201843
19 202041
20 202132

About Shi Pu

Shi Pu is a scholar working on Global and Planetary Change, Geology, Computer Networks and Communications, Environmental Engineering and Artificial Intelligence, having authored 99 papers that have together received 2.6k indexed citations. Recurring topics across this work include Marine Bivalve and Aquaculture Studies (23 papers), Distributed Control Multi-Agent Systems (19 papers), Stochastic Gradient Optimization Techniques (13 papers), Remote Sensing and LiDAR Applications (12 papers), 3D Surveying and Cultural Heritage (12 papers), Sparse and Compressive Sensing Techniques (8 papers), Physiological and biochemical adaptations (8 papers) and Calcium Carbonate Crystallization and Inhibition (8 papers). The work is most often cited by research in Geology (870 citations), Environmental Engineering (872 citations), Space and Planetary Science (47 citations), Computer Networks and Communications (636 citations) and Computational Mechanics (331 citations). Shi Pu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include George Vosselman, Angelia Nedich, Sander Oude Elberink, Martin Rutzinger, Wei Shi, Jinming Xu, Mei‐Jie Yang, Zhi Hu, Jie Feng and Yongren Li. Their work appears in journals such as IEEE Transactions on Automatic Control, Frontiers in Marine Science, Aquaculture, Marine Environmental Research and IEEE Transactions on Signal Processing.

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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