Qishuai Yin

468 total citations
28 papers, 315 citations indexed

About

Qishuai Yin is a scholar working on Ocean Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Qishuai Yin has authored 28 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Ocean Engineering, 15 papers in Mechanical Engineering and 5 papers in Civil and Structural Engineering. Recurrent topics in Qishuai Yin's work include Drilling and Well Engineering (21 papers), Oil and Gas Production Techniques (11 papers) and Hydraulic Fracturing and Reservoir Analysis (11 papers). Qishuai Yin is often cited by papers focused on Drilling and Well Engineering (21 papers), Oil and Gas Production Techniques (11 papers) and Hydraulic Fracturing and Reservoir Analysis (11 papers). Qishuai Yin collaborates with scholars based in China, United States and Czechia. Qishuai Yin's co-authors include Jin Yang, Mayank Tyagi, Xu Zhou, Jin Yang, Gang Tong, Xin Zhao, Ting Sun, Ning Wang, Lilin Li and Dongsheng Xu and has published in prestigious journals such as Reliability Engineering & System Safety, Process Safety and Environmental Protection and Journal of Petroleum Science and Engineering.

In The Last Decade

Qishuai Yin

23 papers receiving 310 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Qishuai Yin China	11	243	170	44	43	26	28	315
Danzhu Zheng United States	13	251 1.0×	183 1.1×	86 2.0×	78 1.8×	33 1.3×	35	332
Benoît Daireaux Norway	15	462 1.9×	179 1.1×	120 2.7×	24 0.6×	16 0.6×	45	508
Liangchao Qu China	9	123 0.5×	239 1.4×	40 0.9×	121 2.8×	17 0.7×	20	355
Mingyu Shi China	5	151 0.6×	106 0.6×	8 0.2×	71 1.7×	23 0.9×	9	262
Mohammad Javad Ameri Iran	9	235 1.0×	210 1.2×	50 1.1×	89 2.1×	28 1.1×	33	302
Yingcao Zhou China	12	393 1.6×	351 2.1×	96 2.2×	182 4.2×	66 2.5×	36	471
Mohammadreza Kamyab Australia	11	283 1.2×	214 1.3×	97 2.2×	52 1.2×	4 0.2×	27	354
Knut S. Bjørkevoll Norway	18	850 3.5×	536 3.2×	145 3.3×	19 0.4×	34 1.3×	79	906
Chris Carpenter	8	275 1.1×	177 1.0×	40 0.9×	89 2.1×	16 0.6×	189	342
Deli Jia China	8	173 0.7×	120 0.7×	10 0.2×	62 1.4×	11 0.4×	47	257

Countries citing papers authored by Qishuai Yin

Since Specialization

Citations

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

Fields of papers citing papers by Qishuai Yin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qishuai Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Qishuai Yin. A scholar is included among the top collaborators of Qishuai Yin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qishuai Yin. Qishuai Yin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yin, Qishuai, et al.. (2025). Deep learning based early warning methodology for gas kick of deepwater drilling using pilot-scale rig data. Process Safety and Environmental Protection. 196. 106844–106844. 2 indexed citations

Yin, Qishuai, et al.. (2025). Mechanical behavior of surface conductors induced by drill string vibrations during deepwater drilling. Ocean Engineering. 342. 122651–122651.

Yin, Qishuai, et al.. (2025). Research and application of optimization method for semi-submersible platform mooring system based on deep learning. Ocean Engineering. 329. 121084–121084. 2 indexed citations

Yang, Jin, Qishuai Yin, Lei Li, et al.. (2024). Research on the mechanism of impact of vibrational loads on the bearing capacity of drilling surface conductor. Geoenergy Science and Engineering. 244. 213413–213413.

Yang, Jin, et al.. (2024). Digital Twin: Hybrid Virtual Simulation and Physical Monitoring Strategy for Long-Term Safe Operation of Floating Production Platform-Hybrid Polyester Mooring Lines-Steel Catenary Risers Multibody System in the South China Sea. Offshore Technology Conference. 1 indexed citations

Yang, Jin, Qishuai Yin, Yu Song, et al.. (2023). Numerical Simulation of Subsea Wellhead Bearing Capacity in Deepwater with Novel Expandable Surface Conductor Foundation. Offshore Technology Conference.

Li, Zhenkun, et al.. (2023). Fracture failure analysis of an offshore drilling centralizer. Materials Testing. 65(10). 1508–1527.

Yin, Qishuai, Yingying Guo, Jin Yang, et al.. (2022). Field data analysis and risk assessment of shallow gas hazards based on neural networks during industrial deep-water drilling. Reliability Engineering & System Safety. 232. 109079–109079. 14 indexed citations

Yang, Jin, Shujie Liu, Huanhuan Wang, et al.. (2021). A Novel Method for Fracture Pressure Prediction in Shallow Formation During Deep-Water Drilling. Journal of Energy Resources Technology. 144(3). 15 indexed citations

10.

Yin, Qishuai, Jin Yang, Ming Luo, et al.. (2020). A Field Case Study of Managed Pressure Drilling in Offshore Ultra High-Pressure High-Temperature Exploration Well in the South China Sea. SPE Drilling & Completion. 35(4). 503–524. 25 indexed citations

11.

Yin, Qishuai, et al.. (2020). Field data analysis and risk assessment of gas kick during industrial deepwater drilling process based on supervised learning algorithm. Process Safety and Environmental Protection. 146. 312–328. 52 indexed citations

12.

Yin, Qishuai, Jin Yang, Mayank Tyagi, et al.. (2020). Drilling performance improvement in offshore batch wells based on rig state classification using machine learning. Journal of Petroleum Science and Engineering. 192. 107306–107306. 26 indexed citations

13.

Yin, Qishuai, Jin Yang, Shanshan Shi, et al.. (2019). Intelligent Early Kick Detection in Ultra-Deepwater High-Temperature High-Pressure (HPHT) Wells Based on Big Data Technology. The 29th International Ocean and Polar Engineering Conference. 8 indexed citations

14.

Huang, Yi, Jin Yang, Qishuai Yin, et al.. (2019). Key Drilling Technique and Practice of Ultra-Deepwater High-Temperature High-Pressure (HPHT) in LS25 of South China Sea. The 29th International Ocean and Polar Engineering Conference. 1 indexed citations

15.

Sun, Ting, et al.. (2019). Combining Drilling Big Data and Machine Learning Method to Improve the Timeliness of Drilling. SPE/IADC International Drilling Conference and Exhibition. 3 indexed citations

16.

Yang, Jin, Qishuai Yin, Lei Chen, et al.. (2019). Automatic Gas Influxes Detection in Offshore Drilling Based on Machine Learning Technology. 11 indexed citations

17.

Yin, Qishuai, et al.. (2018). Improve the Drilling Operations Efficiency by the Big Data Mining of Real-Time Logging. SPE/IADC Middle East Drilling Technology Conference and Exhibition. 20 indexed citations

18.

Yin, Qishuai, Jin Yang, Bo Zhou, et al.. (2018). Operational Designs and Applications of MPD in Offshore Ultra-HTHP Exploration Wells. IADC/SPE Asia Pacific Drilling Technology Conference and Exhibition. 10 indexed citations

19.

Yin, Qishuai, et al.. (2018). Improved Calculation Method of Soil Bearing Capacity of Jack-Up Rig Based on Field Simulation Experiment. Offshore Technology Conference Asia. 3 indexed citations

20.

Yin, Qishuai, Jin Yang, Shujie Liu, et al.. (2017). Intelligent Method of Identifying Drilling Risk in Complex Formations Based on Drilled Wells Data. 8 indexed citations

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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