Su Jiang

2.3k total citations
49 papers, 1.6k citations indexed

About

Su Jiang is a scholar working on Mechanical Engineering, Artificial Intelligence and Information Systems. According to data from OpenAlex, Su Jiang has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Mechanical Engineering, 14 papers in Artificial Intelligence and 13 papers in Information Systems. Recurrent topics in Su Jiang's work include Reservoir Engineering and Simulation Methods (12 papers), Hydraulic Fracturing and Reservoir Analysis (11 papers) and Data Mining Algorithms and Applications (10 papers). Su Jiang is often cited by papers focused on Reservoir Engineering and Simulation Methods (12 papers), Hydraulic Fracturing and Reservoir Analysis (11 papers) and Data Mining Algorithms and Applications (10 papers). Su Jiang collaborates with scholars based in China, United States and Canada. Su Jiang's co-authors include Gabriele Wulf, Harry Zhang, Harry Zhang, Kezhi Li, Junhua Li, Shen Zhao, Louis J. Durlofsky, Stan Matwin, Dongping Xue and Jianan Zhang and has published in prestigious journals such as Applied Catalysis B: Environmental, Water Resources Research and Journal of Computational Physics.

In The Last Decade

Su Jiang

46 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Su Jiang China	19	366	342	294	241	234	49	1.6k
Wenhao Zhu China	22	369 1.0×	495 1.4×	100 0.3×	37 0.2×	389 1.7×	133	1.8k
Fahim Faisal Bangladesh	23	120 0.3×	132 0.4×	158 0.5×	29 0.1×	282 1.2×	105	1.2k
Yun Ye China	33	133 0.4×	976 2.9×	370 1.3×	101 0.4×	1.5k 6.4×	242	3.4k
Xiang Cao China	28	134 0.4×	245 0.7×	79 0.3×	20 0.1×	189 0.8×	118	2.5k
Tianhua Chen China	26	399 1.1×	142 0.4×	73 0.2×	16 0.1×	856 3.7×	148	2.5k
Seok-Won Lee South Korea	24	205 0.6×	360 1.1×	171 0.6×	10 0.0×	259 1.1×	152	1.5k
Hui Chen China	26	77 0.2×	106 0.3×	111 0.4×	15 0.1×	1.1k 4.9×	145	2.4k
Kaisheng Yao China	27	1.7k 4.7×	521 1.5×	361 1.2×	5 0.0×	629 2.7×	116	3.8k
Minyoung Kim South Korea	21	113 0.3×	197 0.6×	46 0.2×	10 0.0×	494 2.1×	230	2.1k
Bin Xie United States	17	197 0.5×	64 0.2×	16 0.1×	24 0.1×	479 2.0×	94	1.6k

Countries citing papers authored by Su Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Su Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Jiang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Jiang, Su, et al.. (2024). Entrance process and interface distribution of nanoparticles in point contact. Tribology International. 200. 110085–110085. 1 indexed citations

Hamon, François P., et al.. (2024). Surrogate model for geological CO2 storage and its use in hierarchical MCMC history matching. Advances in Water Resources. 187. 104678–104678. 21 indexed citations

Jiang, Su & Louis J. Durlofsky. (2024). History matching for geological carbon storage using data-space inversion with spatio-temporal data parameterization. International journal of greenhouse gas control. 134. 104124–104124. 12 indexed citations

Tang, Hewei, Pengcheng Fu, Honggeun Jo, et al.. (2022). Deep learning-accelerated 3D carbon storage reservoir pressure forecasting based on data assimilation using surface displacement from InSAR. International journal of greenhouse gas control. 120. 103765–103765. 24 indexed citations

Tang, Hewei, Pengcheng Fu, Honggeun Jo, et al.. (2022). Deep Learning-Accelerated 3d Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from Insar. SSRN Electronic Journal. 1 indexed citations

Zhang, Xiaoyu, Dongping Xue, Su Jiang, et al.. (2021). Rational confinement engineering of MOF‐derived carbon‐based electrocatalysts toward CO₂ reduction and O₂ reduction reactions. InfoMat. 4(3). 97 indexed citations

Jiang, Su & Louis J. Durlofsky. (2020). Data-space inversion using a recurrent autoencoder for time-series parameterization. Computational Geosciences. 25(1). 411–432. 21 indexed citations

Jiang, Tao, et al.. (2019). QoS adaptive and energy aware cross‐layer opportunistic routing protocol in wireless sensor networks. IET Communications. 13(8). 1034–1042. 12 indexed citations

Liu, Fengqi, et al.. (2018). A Robust and Energy-Efficient Weighted Clustering Algorithm on Mobile Ad Hoc Sensor Networks †. Algorithms. 11(8). 116–116. 8 indexed citations

10.

Jiang, Su, et al.. (2018). Measurement and validation of hole-to-hole fuel injection rate from a diesel injector. Flow Measurement and Instrumentation. 61. 66–78. 18 indexed citations

11.

Jiang, Su, Jianxiong Liu, David B. Thomas, & Peter Y. K. Cheung. (2017). Neural Network Based Reinforcement Learning Acceleration on FPGA Platforms. ACM SIGARCH Computer Architecture News. 44(4). 68–73. 34 indexed citations

12.

Jiang, Su, et al.. (2011). Large Scale Text Classiflcation using Semi-supervised Multinomial. 2 indexed citations

13.

Jiang, Su, Jian Wu, Hong Xu, & Jianzhong Zhou. (2011). The Numerical Optimization of Laser Shot Peening Parameters Based on Response Surface Analysis. Key engineering materials. 464. 443–447.

14.

Jiang, Su. (2010). Fractal growth of deposited carbon on the unirradiated surface of SiO_x nanowires induced by focused electron beam. 3 indexed citations

15.

Jiang, Su, et al.. (2008). Numerical Analysis on the Process of Laser Continuous Peen Forming of Metal Plate. Key engineering materials. 375-376. 603–607. 6 indexed citations

16.

Jiang, Su, Harry Zhang, Charles X. Ling, & Stan Matwin. (2008). Discriminative parameter learning for Bayesian networks. 1016–1023. 77 indexed citations

17.

Wulf, Gabriele & Su Jiang. (2007). An External Focus of Attention Enhances Golf Shot Accuracy in Beginners and Experts. Research Quarterly for Exercise and Sport. 78(4). 384–389. 289 indexed citations

18.

Jiang, Su & Harry Zhang. (2006). A fast decision tree learning algorithm. National Conference on Artificial Intelligence. 500–505. 116 indexed citations

19.

Jiang, Su & Harry Zhang. (2005). Representing conditional independence using decision trees. National Conference on Artificial Intelligence. 874–879. 8 indexed citations

20.

Zhang, Harry, Liangxiao Jiang, & Su Jiang. (2005). Hidden naive Bayes. National Conference on Artificial Intelligence. 919–924. 59 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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