Bin Gong

3.3k citations
194 papers · 2.5k · h-index 25

Impact in

    • Drilling and Well Engineering
    • Reservoir Engineering and Simulation Methods
    • Rock Mechanics and Modeling
    • Hydrocarbon exploration and reservoir analysis

Papers in

Bin Gong

178 papers receiving 2.4k citations

Peers

Bin Gong
Comparison fields: 5 of 165
  • Ocean Engineering 641
  • Mechanics of Materials 751
  • Environmental Engineering 320
  • Safety, Risk, Reliability and Quality 174
  • Environmental Chemistry 184
Replace Yingchun Li with:
Yingchun Li China
Cai China
Yuanyuan Wang China
Liang Liang China
Shihao Wang China
Maha N. Hajmeer United States
Gilberto Mosqueda United States
Chuanjin Yao China
Jeanne M. VanBriesen United States
F.J. Davis United States
Bin Gong relative to Yingchun Li China Yingchun Li's profile →
Citations per field
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Yingchun Li · 1×
Citations per year

Countries citing papers authored by Bin Gong

Since Specialization
Citations

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

Fields of papers citing papers by Bin Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007153
2 2006139
3 2008114
4 2019101
5 201885
6 201467
7 201963
8 201961
9 201859
10 202051
11 201950
12 201445
13 201242
14 202039
15 202337
16 199837
17 202035
18 202032
19 200632
20 201830

About Bin Gong

Bin Gong is a scholar working on Ocean Engineering, Mechanical Engineering, Computer Networks and Communications, Information Systems and Mechanics of Materials, having authored 194 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (36 papers), Distributed and Parallel Computing Systems (31 papers), Cloud Computing and Resource Management (20 papers), Reservoir Engineering and Simulation Methods (19 papers), Rock Mechanics and Modeling (18 papers), Seismic Imaging and Inversion Techniques (15 papers), Drilling and Well Engineering (15 papers) and Methane Hydrates and Related Phenomena (15 papers). The work is most often cited by research in Ocean Engineering (641 citations), Mechanics of Materials (751 citations), Environmental Engineering (320 citations), Safety, Risk, Reliability and Quality (174 citations) and Environmental Chemistry (184 citations). Bin Gong has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Louis J. Durlofsky, Yujing Jiang, M. Karimi‐Fard, Xuezhen Wu, Zhenchang Guan, Tao Deng, Guangfu Zhang, Li Ding, Quanlin Wu and Yanchao Xue. Their work appears in journals such as Journal of Natural Gas Science and Engineering, Energies, Petroleum Exploration and Development, Applied Intelligence and ADVANCES IN GEO-ENERGY RESEARCH.

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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