Bingyuan Hong

1.0k total citations
64 papers, 669 citations indexed

About

Bingyuan Hong is a scholar working on Ocean Engineering, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Bingyuan Hong has authored 64 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ocean Engineering, 16 papers in Electrical and Electronic Engineering and 15 papers in Mechanical Engineering. Recurrent topics in Bingyuan Hong's work include Reservoir Engineering and Simulation Methods (10 papers), Integrated Energy Systems Optimization (9 papers) and Oil and Gas Production Techniques (9 papers). Bingyuan Hong is often cited by papers focused on Reservoir Engineering and Simulation Methods (10 papers), Integrated Energy Systems Optimization (9 papers) and Oil and Gas Production Techniques (9 papers). Bingyuan Hong collaborates with scholars based in China, Japan and Germany. Bingyuan Hong's co-authors include Jing Gong, Shangfei Song, Kai Wen, Yuchuan Chen, Xiaoping Li, Weichao Yu, Yanbo Li, Baikang Zhu, Weihe Huang and Jian Guo and has published in prestigious journals such as The Science of The Total Environment, Journal of Cleaner Production and Applied Energy.

In The Last Decade

Bingyuan Hong

54 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bingyuan Hong China 15 224 187 128 125 96 64 669
Shanbi Peng China 12 141 0.6× 142 0.8× 122 1.0× 106 0.8× 53 0.6× 25 521
Jian Kang China 15 157 0.7× 131 0.7× 50 0.4× 19 0.2× 116 1.2× 46 563
Kai Wen China 16 139 0.6× 299 1.6× 246 1.9× 154 1.2× 69 0.7× 62 849
Jichuan Kang China 16 209 0.9× 199 1.1× 77 0.6× 110 0.9× 119 1.2× 46 932
Jiaqi Zhou China 17 142 0.6× 131 0.7× 145 1.1× 333 2.7× 20 0.2× 49 945
Rafael Campos–Amezcua Mexico 11 100 0.4× 108 0.6× 41 0.3× 261 2.1× 179 1.9× 28 615
Shaojun Liu China 14 172 0.8× 334 1.8× 93 0.7× 56 0.4× 27 0.3× 70 684
Yang Kong China 10 58 0.3× 34 0.2× 21 0.2× 385 3.1× 59 0.6× 12 592
Yawei Qin China 19 98 0.4× 106 0.6× 564 4.4× 42 0.3× 12 0.1× 30 1.0k

Countries citing papers authored by Bingyuan Hong

Since Specialization
Citations

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

Fields of papers citing papers by Bingyuan Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bingyuan Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Bingyuan Hong. A scholar is included among the top collaborators of Bingyuan Hong 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 Bingyuan Hong. Bingyuan Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chen, Zhiwei, Shouxin Zhang, Huajun Zheng, et al.. (2025). Application of a novel multiscale model to determine the mechanism of carbon steel corrosion. Electrochimica Acta. 540. 147253–147253.
2.
Zhu, Baikang, et al.. (2025). Innovative multistage oil vapor recovery process: Integrated precoolers optimization design. Applied Thermal Engineering. 272. 126420–126420. 1 indexed citations
3.
Liu, Daiwei, Che Liu, Weiqiang Wang, et al.. (2025). Advancements in CO2 pipeline transportation technology: a bibliometric analysis and knowledge mapping study. Fuel. 407. 137498–137498.
4.
Zhu, Baikang, Fubin Wang, Zhiyuan Zhang, et al.. (2025). Real-Time Classification of Distributed Fiber Optic Monitoring Signals Using a 1D-CNN-SVM Framework for Pipeline Safety. Processes. 13(6). 1825–1825.
5.
Zhou, Jun, Tao Wang, Can Qin, et al.. (2024). Differential pressure power generation in UGS: Operational optimization model and its implications for carbon emission reduction. Energy. 312. 133565–133565. 2 indexed citations
6.
Wen, Kai, et al.. (2024). Allocation of transportation capacity for complex natural gas pipeline network under fair opening. Energy. 291. 130330–130330. 9 indexed citations
7.
Zhou, Jun, Cui Liu, Guangchuan Liang, et al.. (2024). Carbon allowance allocation and CO2 flows analysis in CCUS under the carbon market. Journal of Cleaner Production. 473. 143566–143566. 7 indexed citations
8.
Lang, Sebastian, et al.. (2024). A transformer-based deep reinforcement learning approach for dynamic parallel machine scheduling problem with family setups. Journal of Intelligent Manufacturing. 36(7). 4735–4768. 5 indexed citations
9.
Yu, Weichao, et al.. (2024). A methodology to determine target gas supply reliability of natural gas pipeline system based on cost-benefit analysis. Reliability Engineering & System Safety. 251. 110364–110364. 9 indexed citations
10.
Hong, Bingyuan, et al.. (2023). Dynamic Bayesian network risk probability evolution for third-party damage of natural gas pipelines. Applied Energy. 333. 120620–120620. 44 indexed citations
11.
Cen, Xiao, Chen Ding, Bo Ding, et al.. (2023). User repurchase behavior prediction for integrated energy supply stations based on the user profiling method. Energy. 286. 129625–129625. 7 indexed citations
12.
Li, Xiaoping, et al.. (2023). Spatiotemporal simulation of gas-liquid transport in the production process of continuous undulating pipelines. Energy. 278. 127859–127859. 3 indexed citations
13.
Lang, Sebastian, et al.. (2023). A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups. Journal of Intelligent Manufacturing. 35(3). 1107–1140. 21 indexed citations
14.
Wen, Kai, Weihe Huang, Yi Ding, et al.. (2023). A high-accuracy online transient simulation framework of natural gas pipeline network by integrating physics-based and data-driven methods. Applied Energy. 333. 120615–120615. 25 indexed citations
15.
Hong, Bingyuan, Jeng Shiun Lim, Petar Sabev Varbanov, et al.. (2023). Carbon emission pinch analysis for shipping fuel planning considering multiple period and fuel conversion rates. Journal of Cleaner Production. 415. 137759–137759. 16 indexed citations
16.
Hong, Bingyuan, et al.. (2023). Using the meteorological early warning model to improve the prediction accuracy of water damage geological disasters around pipelines in mountainous areas. The Science of The Total Environment. 889. 164334–164334. 7 indexed citations
17.
Hong, Bingyuan, et al.. (2022). Long-term dynamic allocation and maintenance planning of modular equipment to enhance gas field production flexibility. Energy. 252. 123920–123920. 7 indexed citations
18.
Hao, Bin, et al.. (2022). Numerical Simulation of Premixed Methane–Air Explosion in a Closed Tube with U-Type Obstacles. Energies. 15(13). 4909–4909. 11 indexed citations
19.
Hong, Bingyuan, Xiaoping Li, Yu Li, et al.. (2022). An improved hydraulic model of gathering pipeline network integrating pressure-exchange ejector. Energy. 260. 125101–125101. 7 indexed citations
20.
Kang, Qi, Shangfei Song, Bohui Shi, et al.. (2021). Simulation of upward gas—hydrate slurry multiphase flow in a vertical concentric annulus for natural gas hydrate solid fluidization exploitation. Physics of Fluids. 33(10). 9 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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