Jin Yang

1.1k citations
83 papers · 778 · h-index 16

Impact in

    • Drilling and Well Engineering
    • Oil and Gas Production Techniques
    • Offshore Engineering and Technologies
    • Reservoir Engineering and Simulation Methods
    • Geotechnical Engineering and Underground Structures

Papers in

Jin Yang

73 papers receiving 764 citations

Peers

Jin Yang
Comparison fields: 5 of 99
  • Ocean Engineering 357
  • Civil and Structural Engineering 155
  • Mechanics of Materials 148
  • Mechanical Engineering 222
  • Statistics, Probability and Uncertainty 41
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Teng Xu China
Zhi Guo China
Daolun Li China
Wenshu Zha China
Liqun Shan China
Liang Han China
Hongwei Zhu China
Mauro Roisenberg Brazil
Fatai Anifowose Saudi Arabia
Jin Yang relative to Teng Xu China Teng Xu's profile →
Citations per field
00.5×3.1×
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Citations per year

Countries citing papers authored by Jin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201173
2 201658
3 202057
4 202143
5 202141
6 201334
7 202132
8 202128
9 202027
10 202424
11 201423
12 201620
13 202117
14 202216
15 201516
16 201616
17 201815
18 202215
19
Advanced Real-Time Gas Kick Detection Using Machine Learning Technology
201914
20 202314

About Jin Yang

Jin Yang is a scholar working on Ocean Engineering, Civil and Structural Engineering, Mechanical Engineering, Mechanics of Materials and Computational Mechanics, having authored 83 papers that have together received 778 indexed citations. Recurring topics across this work include Drilling and Well Engineering (37 papers), Geotechnical Engineering and Underground Structures (24 papers), Offshore Engineering and Technologies (19 papers), Hydraulic Fracturing and Reservoir Analysis (18 papers), Oil and Gas Production Techniques (12 papers), Mechanical stress and fatigue analysis (10 papers), Fluid Dynamics and Vibration Analysis (10 papers) and Methane Hydrates and Related Phenomena (7 papers). The work is most often cited by research in Ocean Engineering (357 citations), Civil and Structural Engineering (155 citations), Mechanics of Materials (148 citations), Mechanical Engineering (222 citations) and Statistics, Probability and Uncertainty (41 citations). Jin Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qishuai Yin, Xu Zhou, Mayank Tyagi, Bo Zhou, Shujie Liu, Jinquan Zeng, Yan Zhang, Run Chen, Gang Tong and Wenbin Chen. Their work appears in journals such as Ocean Engineering, Journal of Petroleum Science and Engineering, Applied Ocean Research, China Ocean Engineering and Petroleum Exploration and Development.

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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