Bin Gong

3.4k citations
188 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

179 papers receiving 2.5k citations

Peers

Bin Gong
Comparison fields: 5 of 163
  • Ocean Engineering 646
  • Mechanics of Materials 761
  • Environmental Engineering 307
  • Safety, Risk, Reliability and Quality 175
  • Environmental Chemistry 188
Replace Yingchun Li with:
Yingchun Li China
Yuanyuan Wang China
Liang Liang China
Chuanjin Yao China
Shihao Wang China
Cai China
Maha N. Hajmeer United States
Gilberto Mosqueda United States
Yu‐Feng Lin United States
Jian Zhang China
Bin Gong relative to Yingchun Li China Yingchun Li's profile →
Citations per field
00.5×1.5×2.4×
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 188 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007155
2 2006139
3 2008113
4 2019104
5 201888
6 201469
7 201964
8 201963
9 201860
10 202051
11 201950
12 201446
13 201242
14 202041
15 202339
16 202038
17 199838
18 202034
19 200632
20 202131

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 188 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 (30 papers), Cloud Computing and Resource Management (19 papers), Reservoir Engineering and Simulation Methods (19 papers), Rock Mechanics and Modeling (18 papers), Drilling and Well Engineering (15 papers), Seismic Imaging and Inversion Techniques (15 papers) and Parallel Computing and Optimization Techniques (14 papers). The work is most often cited by research in Ocean Engineering (646 citations), Mechanics of Materials (761 citations), Environmental Engineering (307 citations), Safety, Risk, Reliability and Quality (175 citations) and Environmental Chemistry (188 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, Guangfu Zhang, Tao Deng, Li Ding, Quanlin Wu and Yanchao Xue. Their work appears in journals such as Energies, Journal of Natural Gas Science and Engineering, Applied Intelligence, Petroleum Exploration and Development 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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