Yujin Wan

978 total citations · 1 hit paper
29 papers, 672 citations indexed

About

Yujin Wan is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Yujin Wan has authored 29 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ocean Engineering, 24 papers in Mechanical Engineering and 17 papers in Mechanics of Materials. Recurrent topics in Yujin Wan's work include Hydraulic Fracturing and Reservoir Analysis (24 papers), Hydrocarbon exploration and reservoir analysis (16 papers) and Reservoir Engineering and Simulation Methods (16 papers). Yujin Wan is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (24 papers), Hydrocarbon exploration and reservoir analysis (16 papers) and Reservoir Engineering and Simulation Methods (16 papers). Yujin Wan collaborates with scholars based in China, Malaysia and United Kingdom. Yujin Wan's co-authors include Xizhe Li, Ruilan Luo, Wenshu Zha, Yanmei Xu, Daolun Li, Yuping Liu, Shan Yang, Wei Guo, Yong Hu and Weijun Shen and has published in prestigious journals such as Scientific Reports, Energy and Applied Sciences.

In The Last Decade

Yujin Wan

27 papers receiving 662 citations

Hit Papers

Forecasting monthly gas field production based on the CNN... 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Forecasting monthly gas field production based on the CNN-LSTM model
    2022 223 citations Wenshu Zha, Yuping Liu et al. Energy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yujin Wan China 11 363 355 354 61 60 29 672
Amirmasoud Kalantari Dahaghi United States 16 491 1.4× 350 1.0× 386 1.1× 32 0.5× 43 0.7× 36 748
Fahad I. Syed United States 16 522 1.4× 335 0.9× 380 1.1× 26 0.4× 33 0.6× 28 719
Yuetian Liu China 14 330 0.9× 192 0.5× 232 0.7× 73 1.2× 35 0.6× 32 672
Bing Kong China 12 238 0.7× 155 0.4× 187 0.5× 44 0.7× 36 0.6× 54 511
Shuhua Wang China 18 654 1.8× 466 1.3× 546 1.5× 26 0.4× 65 1.1× 59 1.1k
Mohammad Ebadi Russia 14 624 1.7× 348 1.0× 492 1.4× 81 1.3× 13 0.2× 29 1.1k
Trent Jacobs United States 16 459 1.3× 173 0.5× 406 1.1× 79 1.3× 37 0.6× 128 668
Ahmed M. Shehata Egypt 14 344 0.9× 306 0.9× 280 0.8× 22 0.4× 10 0.2× 28 635

Countries citing papers authored by Yujin Wan

Since Specialization
Citations

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

Fields of papers citing papers by Yujin Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujin Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Yujin Wan. A scholar is included among the top collaborators of Yujin Wan 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 Yujin Wan. Yujin Wan 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.
He, Wenping, Xizhe Li, Yujin Wan, et al.. (2025). EUR Prediction for Shale Gas Wells Based on the ROA-CatBoost-AM Model. Applied Sciences. 15(4). 2156–2156. 1 indexed citations
2.
Wan, Yujin, et al.. (2024). Mechanism and application of gas phase trapping by spontaneous imbibition. Scientific Reports. 14(1). 17946–17946.
3.
He, Sijie, et al.. (2024). A Study on the Remaining Reserves of the Weiyuan Shale Gas Block in Three-Dimensional Development. Applied Sciences. 14(21). 9738–9738.
4.
Li, Daolun, et al.. (2023). Deep learning-based analysis of the main controlling factors of different gas-fields recovery rate. Energy. 285. 128767–128767. 4 indexed citations
5.
Hu, Yong, et al.. (2022). Experiment on development of multilayer unconsolidated sandstone gas reservoir with edge water invasion in Qaidam Basin, China. Journal of Natural Gas Geoscience. 7(6). 371–384. 4 indexed citations
6.
Zha, Wenshu, Yuping Liu, Yujin Wan, et al.. (2022). Forecasting monthly gas field production based on the CNN-LSTM model. Energy. 260. 124889–124889. 223 indexed citations breakdown →
7.
Wan, Yujin, et al.. (2021). Microscopic imbibition characterization of sandstone reservoirs and theoretical model optimization. Scientific Reports. 11(1). 8509–8509. 11 indexed citations
8.
Li, Xizhe, Yong Hu, Xiaohua Liu, et al.. (2020). High-quality development of ultra-deep large gas fields in China: Challenges, strategies and proposals. Natural Gas Industry B. 7(5). 505–513. 26 indexed citations
9.
Li, Xizhe, Ruilan Luo, Yong Hu, et al.. (2020). Main flow channel index in porous sand reservoirs and its application. Petroleum Exploration and Development. 47(5). 1055–1061. 5 indexed citations
10.
Wan, Yujin, Zhiye Chen, Weijun Shen, et al.. (2019). Study of the effects of hydraulic fractures on gas and water flow in shale gas reservoirs. Energy Sources Part A Recovery Utilization and Environmental Effects. 45(3). 9540–9551. 5 indexed citations
11.
Luo, Ruilan, et al.. (2019). Evaluation of Dynamic Reserves in Ultra-Deep Naturally Fractured Tight Sandstone Gas Reservoirs. International Petroleum Technology Conference. 2 indexed citations
12.
Luo, Ruilan, et al.. (2019). Evaluation of Dynamic Reserves in Ultra-Deep Naturally Fractured Tight Sandstone Gas Reservoirs. International Petroleum Technology Conference. 2 indexed citations
13.
Li, Xizhe, et al.. (2018). Correlation between per-well average dynamic reserves and initial absolute open flow potential (AOFP) for large gas fields in China and its application. Petroleum Exploration and Development. 45(6). 1088–1093. 10 indexed citations
14.
Yang, Yongfei, Wenjie Zhang, Ying Gao, et al.. (2016). Influence of stress sensitivity on microscopic pore structure and fluid flow in porous media. Journal of Natural Gas Science and Engineering. 36. 20–31. 62 indexed citations
15.
Zhang, Lei, Jun Yao, Jianlin Zhao, et al.. (2016). The influence of wettability and shut-in time on oil recovery through microscale simulation based on an ideal model. Journal of Natural Gas Science and Engineering. 48. 178–185. 7 indexed citations
16.
17.
Wan, Yujin & Hu Yong. (2015). The Key Factors Affecting the Deliverability and OGIP of Multi-layer Gas Reservoirs. Abu Dhabi International Petroleum Exhibition and Conference. 3 indexed citations
18.
Ismail, Tuan Noor Maznee Tuan, et al.. (2012). Optimization of reaction conditions for enzymatic synthesis of palm fatty hydrazides using response surface methodology. Journal of Oleo Science. 61(5). 297–302. 3 indexed citations
19.
Wan, Yujin. (2009). The deformation characteristics of low permeability reservoir rocks under confining pressure. Tianranqi gongye. 1 indexed citations
20.

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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