Bao Jia

1.6k total citations · 1 hit paper
55 papers, 1.3k citations indexed

About

Bao Jia is a scholar working on Mechanics of Materials, Ocean Engineering and Mechanical Engineering. According to data from OpenAlex, Bao Jia has authored 55 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Mechanics of Materials, 36 papers in Ocean Engineering and 24 papers in Mechanical Engineering. Recurrent topics in Bao Jia's work include Hydrocarbon exploration and reservoir analysis (38 papers), Enhanced Oil Recovery Techniques (26 papers) and Hydraulic Fracturing and Reservoir Analysis (22 papers). Bao Jia is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (38 papers), Enhanced Oil Recovery Techniques (26 papers) and Hydraulic Fracturing and Reservoir Analysis (22 papers). Bao Jia collaborates with scholars based in United States, China and Kuwait. Bao Jia's co-authors include Jyun‐Syung Tsau, Reza Barati, Chenggang Xian, Zeliang Chen, Lu Jin, Hui Pu, Cenk Temizel, Xuan Zuo, Shaojie Zhang and Jin Zhao and has published in prestigious journals such as Chemical Engineering Journal, Energy Conversion and Management and Fuel.

In The Last Decade

Bao Jia

50 papers receiving 1.2k citations

Hit Papers

A review of the current progress of CO2 injection EOR and... 2018 2026 2020 2023 2018 100 200 300 400 500
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. A review of the current progress of CO2 injection EOR and carbon storage in shale oil reservoirs
    2018 539 citations Bao Jia, Jyun‐Syung Tsau et al. Fuel profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bao Jia United States 17 834 818 619 411 110 55 1.3k
James A. Sorensen United States 19 938 1.1× 846 1.0× 742 1.2× 506 1.2× 102 0.9× 67 1.3k
John A. Harju United States 18 846 1.0× 715 0.9× 676 1.1× 548 1.3× 76 0.7× 66 1.3k
Pål Østebø Andersen Norway 24 1.1k 1.3× 820 1.0× 900 1.5× 433 1.1× 97 0.9× 108 1.7k
Yongmao Hao China 17 694 0.8× 604 0.7× 413 0.7× 352 0.9× 95 0.9× 49 955
Siwei Meng China 18 688 0.8× 844 1.0× 759 1.2× 237 0.6× 120 1.1× 91 1.3k
Jyun‐Syung Tsau United States 20 1.2k 1.5× 978 1.2× 803 1.3× 567 1.4× 180 1.6× 78 1.7k
Lu Jin United States 19 941 1.1× 726 0.9× 711 1.1× 374 0.9× 105 1.0× 87 1.4k
Weiyao Zhu China 22 1.1k 1.3× 759 0.9× 936 1.5× 336 0.8× 98 0.9× 149 1.6k
Bowen Yao United States 15 811 1.0× 747 0.9× 713 1.2× 198 0.5× 54 0.5× 24 1.2k
Takashi Akai Japan 16 624 0.7× 507 0.6× 351 0.6× 230 0.6× 88 0.8× 39 943

Countries citing papers authored by Bao Jia

Since Specialization
Citations

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

Fields of papers citing papers by Bao Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bao Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Bao Jia. A scholar is included among the top collaborators of Bao Jia 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 Bao Jia. Bao Jia 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.
Jia, Bao, et al.. (2025). Performance analysis and economic viability of novel 3D U-shaped closed-loop geothermal system. Energy Conversion and Management. 348. 120628–120628.
2.
Jia, Bao, et al.. (2025). Advances in molecular dynamics simulations of wettability and interfacial behaviors in oil reservoirs. Journal of Molecular Liquids. 437. 128372–128372. 1 indexed citations
3.
Liu, Lian, et al.. (2025). Carbonic Anhydrase Immobilized by ZnO Nanoparticles for Catalytic CO2 Conversion. Water Air & Soil Pollution. 236(4). 1 indexed citations
4.
5.
Ren, Lianping, et al.. (2025). Tourism Constraints for the Senior: Scale Development. Journal of Quality Assurance in Hospitality & Tourism. 1–25.
6.
Lu, Xinqian, Siyuan Li, Bao Jia, et al.. (2024). An Overview of Recent Developments and Understandings of Unconventionals in the Vaca Muerta Formation, Argentina. Applied Sciences. 14(4). 1366–1366. 1 indexed citations
7.
Jia, Bao, et al.. (2024). Exploring Porous Media for Compressed Air Energy Storage: Benefits, Challenges, and Technological Insights. Energies. 17(17). 4459–4459. 2 indexed citations
8.
Jia, Bao, et al.. (2024). Oil Shale In Situ Production Using a Novel Flow-Heat Coupling Approach. ACS Omega. 9(7). 7705–7718.
9.
Wang, Yongchao, Bao Jia, & Chenggang Xian. (2023). Machine learning and UNet++ based microfracture evaluation from CT images. Geoenergy Science and Engineering. 226. 211726–211726. 8 indexed citations
10.
Jia, Bao, et al.. (2023). Advancements and Environmental Implications in Oil Shale Exploration and Processing. Applied Sciences. 13(13). 7657–7657. 9 indexed citations
11.
Jia, Bao, et al.. (2023). Improved Petrophysical Property Evaluation of Shaly Sand Reservoirs Using Modified Grey Wolf Intelligence Algorithm. Computational Geosciences. 27(4). 537–549. 8 indexed citations
12.
Wang, Sai, Juan Han, Kegang Ling, et al.. (2019). Recovery Potential and Mechanism Investigation of the Supercritical CO2 EOR in the Bakken Tight Formation. 3 indexed citations
13.
Jia, Bao, et al.. (2019). An integrated approach of measuring permeability of naturally fractured shale. Journal of Petroleum Science and Engineering. 186. 106716–106716. 16 indexed citations
14.
Jia, Bao, Jyun‐Syung Tsau, & Reza Barati. (2018). A workflow to estimate shale gas permeability variations during the production process. Fuel. 220. 879–889. 56 indexed citations
15.
Jia, Bao, Jyun‐Syung Tsau, & Reza Barati. (2018). Measurement of CO2 Diffusion Coefficient in the Oil-Saturated Porous Media. 4 indexed citations
16.
Jia, Bao, Jyun‐Syung Tsau, & Reza Barati. (2018). Experimental and numerical investigations of permeability in heterogeneous fractured tight porous media. Journal of Natural Gas Science and Engineering. 58. 216–233. 24 indexed citations
17.
Jia, Bao, Jyun‐Syung Tsau, & Reza Barati. (2017). A Systematic Procedure to Describe Shale Gas Permeability Evolution during the Production Process. AGU Fall Meeting Abstracts. 2017. 1 indexed citations
18.
19.
Yegin, Cengiz, et al.. (2017). Next-Generation Supramolecular Assemblies as Displacement Fluids in EOR. 4 indexed citations
20.
Jia, Bao, Jyun‐Syung Tsau, & Reza Barati. (2017). Role of Molecular Diffusion in Heterogeneous Shale Reservoirs During CO2 Huff-n-puff. 16 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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