Fujie Jiang

2.9k total citations · 1 hit paper
116 papers, 2.2k citations indexed

About

Fujie Jiang is a scholar working on Mechanics of Materials, Ocean Engineering and Geology. According to data from OpenAlex, Fujie Jiang has authored 116 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Mechanics of Materials, 33 papers in Ocean Engineering and 33 papers in Geology. Recurrent topics in Fujie Jiang's work include Hydrocarbon exploration and reservoir analysis (102 papers), Geological Studies and Exploration (29 papers) and Atmospheric and Environmental Gas Dynamics (27 papers). Fujie Jiang is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (102 papers), Geological Studies and Exploration (29 papers) and Atmospheric and Environmental Gas Dynamics (27 papers). Fujie Jiang collaborates with scholars based in China, Canada and United States. Fujie Jiang's co-authors include Xiongqi Pang, Tao Hu, Di Chen, Xinhe Shao, Yuying Huyan, Jian Chen, Qifeng Wang, Tianwu Xu, Shu Jiang and Guanyun Wu and has published in prestigious journals such as Water Resources Research, Earth-Science Reviews and Expert Systems with Applications.

In The Last Decade

Fujie Jiang

106 papers receiving 2.2k citations

Hit Papers

Movable oil content evaluation of lacustrine organic-rich... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fujie Jiang China 28 2.0k 708 700 525 358 116 2.2k
Tao Hu China 26 1.7k 0.9× 517 0.7× 483 0.7× 520 1.0× 424 1.2× 90 1.9k
Luofu Liu China 27 1.7k 0.9× 643 0.9× 599 0.9× 529 1.0× 302 0.8× 129 2.2k
Senhu Lin China 21 1.8k 0.9× 559 0.8× 604 0.9× 534 1.0× 368 1.0× 56 2.0k
Xuanjun Yuan China 24 2.5k 1.3× 920 1.3× 1.0k 1.5× 876 1.7× 328 0.9× 48 2.9k
Zhenxue Jiang China 25 2.0k 1.0× 1.0k 1.4× 668 1.0× 395 0.8× 576 1.6× 106 2.2k
Suyun Hu China 25 1.9k 0.9× 625 0.9× 631 0.9× 729 1.4× 206 0.6× 63 2.2k
Tian Dong China 25 1.6k 0.8× 616 0.9× 522 0.7× 343 0.7× 410 1.1× 77 1.9k
Zhenxue Jiang China 31 2.7k 1.3× 1.4k 1.9× 960 1.4× 564 1.1× 645 1.8× 123 3.1k
Xiaorong Luo China 24 1.7k 0.9× 743 1.0× 784 1.1× 409 0.8× 279 0.8× 110 2.2k
Ursula Hammes United States 15 2.6k 1.3× 1.3k 1.9× 1.1k 1.6× 398 0.8× 668 1.9× 24 2.9k

Countries citing papers authored by Fujie Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Fujie Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fujie Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Fujie Jiang. A scholar is included among the top collaborators of Fujie Jiang 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 Fujie Jiang. Fujie Jiang 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.
Jiang, Fujie, et al.. (2025). Data-driven interpretable machine learning for prediction of porosity and permeability of tight sandstone reservoir. ADVANCES IN GEO-ENERGY RESEARCH. 16(1). 21–35. 6 indexed citations
2.
Gao, Yang, Lin Jiang, Weiyan Chen, et al.. (2025). Tectonic evolution of the Proto-Paleo-Tethys in the West Kunlun orogenic belt: Constraints from U-Pb geochronology of detrital zircons. Gondwana Research. 141. 213–227. 2 indexed citations
5.
Zhang, Zitong, et al.. (2025). HorD 2 CN: High-order deformable differential convolution network for hyperspectral image classification. Expert Systems with Applications. 296. 129198–129198.
6.
Hu, Tao, W. Zhang, Fujie Jiang, et al.. (2025). Microscopic oil occurrence in the Permian alkaline lacustrine shales: Fengcheng formation, Mahu Sag, Junggar basin. Petroleum Science. 22(4). 1407–1427. 2 indexed citations
7.
Chen, Junqing, Changtao Yue, Yuying Wang, et al.. (2024). Reaction molecular dynamics simulation of kerogen hydrogenation catalysis in marine deep shale. Fuel. 380. 133245–133245. 3 indexed citations
9.
Zhao, Zhengfu, Caineng Zou, Shifeng Dai, et al.. (2024). Weathering-induced organic matter enrichment in marine-continental transitional shale: A case study on the early Permian Taiyuan Formation in the Ordos Basin, China. International Journal of Coal Geology. 291. 104562–104562. 7 indexed citations
10.
Jiang, Fujie, et al.. (2024). The mechanism of clay mineral transformation in CO2 geological storage and its impact on long-term storage potential. Geoenergy Science and Engineering. 242. 213192–213192. 10 indexed citations
11.
Jiang, Fujie, Tao Hu, Guanyun Wu, et al.. (2023). Astrochronology and carbon-isotope stratigraphy of the Fengcheng Formation, Junggar Basin: Terrestrial evidence for the Carboniferous-Permian Boundary. Gondwana Research. 116. 1–11. 11 indexed citations
12.
Jiang, Fujie, et al.. (2023). The controlling factors and prediction model of pore structure in global shale sediments based on random forest machine learning. Earth-Science Reviews. 241. 104442–104442. 30 indexed citations
13.
Jiang, Fujie, Tao Hu, Chenxi Zhang, et al.. (2023). Control of complex lithofacies on the shale oil potential in ancient alkaline lacustrine basins: The Fengcheng Formation, Mahu Sag, Junggar basin. Geoenergy Science and Engineering. 224. 211501–211501. 20 indexed citations
14.
Zhang, Chenxi, Fujie Jiang, Tao Hu, et al.. (2023). Oil occurrence state and quantity in alkaline lacustrine shale using a high-frequency NMR technique. Marine and Petroleum Geology. 154. 106302–106302. 18 indexed citations
15.
Chen, Junqing, Xiongqi Pang, Fujie Jiang, et al.. (2023). Average molecular structure model of shale kerogen: Experimental characterization, structural reconstruction, and pyrolysis analysis. Fuel. 355. 129474–129474. 46 indexed citations
16.
Hu, Tao, Yuan Liu, Fujie Jiang, et al.. (2023). A novel method for quantifying hydrocarbon micromigration in heterogeneous shale and the controlling mechanism. Energy. 288. 129712–129712. 30 indexed citations
17.
Pang, Xiongqi, Min Li, Shasha Hui, et al.. (2023). Main controlling factors and movability evaluation of continental shale oil. Earth-Science Reviews. 243. 104472–104472. 51 indexed citations
18.
Chen, Junqing, Xiongqi Pang, Fujie Jiang, et al.. (2023). Wettability of different clay mineral surfaces in shale: Implications from molecular dynamics simulations. Petroleum Science. 20(2). 689–704. 55 indexed citations
19.
Wu, Yuping, Chenglin Liu, Fujie Jiang, et al.. (2022). Hydrocarbon generation and expulsion of the Fengcheng Formation in the Mahu sag, Junggar Basin, China: Implications for shale oil resource potential. Interpretation. 11(1). T145–T159. 2 indexed citations
20.
Jiang, Fujie, et al.. (2013). Identification and hydrocarbon expulsion history simulation of the effective source rocks in the Dongying Formation, Paleogene, Bohai Sea area, eastern China. Dialnet (Universidad de la Rioja). 3 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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