Zhengfa Bi

408 citations
13 papers · 258 · h-index 7

Impact in

  • Geophysics top 10%
    • Seismic Imaging and Inversion Techniques
    • Seismic Waves and Analysis
    • Drilling and Well Engineering
    • Reservoir Engineering and Simulation Methods

Papers in

    • Seismic Imaging and Inversion Techniques 12
    • Seismic Waves and Analysis 2
    • Geophysical and Geoelectrical Methods 2
    • Reservoir Engineering and Simulation Methods 6
    • Drilling and Well Engineering 2

Zhengfa Bi

10 papers receiving 255 citations

Peers

Zhengfa Bi
Comparison fields: 5 of 32
  • Geophysics 195
  • Ocean Engineering 157
  • Geochemistry and Petrology 37
  • Artificial Intelligence 66
  • Mechanical Engineering 62
Replace M. Protasov with:
M. Protasov Russia
Yazeed Alaudah United States
Charlie Frogner United States
Geoffrey A. Dorn United States
Ehsan Zabihi Naeini United States
Manuel Poupon Netherlands
Guenther Schwedersky Neto Brazil
Ahinoam Pollack United States
Guillaume Cambois France
Stein Inge Pedersen United Kingdom
Zhengfa Bi relative to M. Protasov Russia M. Protasov's profile →
Citations per field
00.5×4.2×
M. Protasov · 1×
Citations per year

Countries citing papers authored by Zhengfa Bi

Since Specialization
Citations

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

Fields of papers citing papers by Zhengfa Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Zhengfa Bi, 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 Zhengfa Bi Line = papers co-authored together Zhengfa Bi links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202178
2 202370
3 202145
4 202321
5 202220
6 20236
7 20206
8 20205
9 20255
10 20222
11 20250
12 20250
13 20260

About Zhengfa Bi

Zhengfa Bi is a scholar working on Geophysics, Ocean Engineering, Artificial Intelligence, Geochemistry and Petrology and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 258 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (12 papers), Reservoir Engineering and Simulation Methods (6 papers), Seismology and Earthquake Studies (5 papers), Geological Modeling and Analysis (2 papers), Seismic Waves and Analysis (2 papers), Drilling and Well Engineering (2 papers), Geophysical and Geoelectrical Methods (2 papers) and Image Processing and 3D Reconstruction (1 paper). The work is most often cited by research in Geophysics (195 citations), Ocean Engineering (157 citations), Geochemistry and Petrology (37 citations), Artificial Intelligence (66 citations) and Mechanical Engineering (62 citations). Zhengfa Bi has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xinming Wu, Zhicheng Geng, Sibo Zhang, Haishan Li, Xu Si, Jie Zhang, Jianwei Ma, Zhixiang Guo, Hang Gao and Jinyu Zhang. Their work appears in journals such as Geophysics, The Leading Edge, Geoscientific model development, Nature Communications and Journal of Geophysical Research Solid Earth.

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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