Haibin Chang

2.1k total citations · 1 hit paper
45 papers, 1.1k citations indexed

About

Haibin Chang is a scholar working on Ocean Engineering, Mechanical Engineering and Environmental Engineering. According to data from OpenAlex, Haibin Chang has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ocean Engineering, 15 papers in Mechanical Engineering and 13 papers in Environmental Engineering. Recurrent topics in Haibin Chang's work include Reservoir Engineering and Simulation Methods (19 papers), Hydraulic Fracturing and Reservoir Analysis (15 papers) and Groundwater flow and contamination studies (12 papers). Haibin Chang is often cited by papers focused on Reservoir Engineering and Simulation Methods (19 papers), Hydraulic Fracturing and Reservoir Analysis (15 papers) and Groundwater flow and contamination studies (12 papers). Haibin Chang collaborates with scholars based in China, United States and Switzerland. Haibin Chang's co-authors include Dongxiao Zhang, Nanzhe Wang, Heng Li, Zhiming Lü, Qinzhuo Liao, Hao Xu, Yuntian Chen, Lingzao Zeng, Yan Chen and Meng Jin and has published in prestigious journals such as Water Resources Research, Journal of Computational Physics and Journal of Experimental Botany.

In The Last Decade

Haibin Chang

42 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Deep learning of subsurface flow via theory-guided neural network

2020 223 citations Nanzhe Wang, Dongxiao Zhang et al. Journal of Hydrology profile →

Peers

Haibin Chang

SNP

GEOPH

Nanzhe Wang China

G. Tartakovsky United States

Eduardo Gildin United States

David A. Barajas‐Solano United States

Daolun Li China

Sergey Oladyshkin Germany

Pallav Sarma United States

Meng Tang United States

Pin Wu China

Sadegh Karimpouli Iran

Nanzhe Wang China

Haibin Chang

329 ×0.6

267 ×0.7

230 ×0.7

257 ×0.9

SNP

141 ×0.8

GEOPH

Citations per year, relative to Haibin Chang Haibin Chang (= 1×) peers Nanzhe Wang

Countries citing papers authored by Haibin Chang

Since Specialization

Citations

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

Fields of papers citing papers by Haibin Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibin Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Haibin Chang. A scholar is included among the top collaborators of Haibin Chang 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 Haibin Chang. Haibin Chang 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

Hu, Wenshi, Shanshan Zhang, Wei Huang, et al.. (2025). Nitrogen-driven changes in leaf anatomy affect the coupling between leaf mass per area and photosynthesis. Journal of Experimental Botany. 76(12). 3444–3456.

Yang, Lu, Junhang Luo, Chiming Gu, et al.. (2025). Preceding intercropped leguminous green manure shifts microbial life strategies to regulate soil organic carbon in low-nitrogen input maize-rapeseed rotations. Soil and Tillage Research. 256. 106841–106841.

Yang, Lu, Chiming Gu, Wei Huang, et al.. (2024). Legume and maize intercropping enhances subsequent oilseed rape productivity and stability under reduced nitrogen input. Field Crops Research. 319. 109644–109644. 1 indexed citations

Yao, Yao, Yu Zhang, Yang Lin, et al.. (2024). The Dynamic Changes of Brassica napus Seed Microbiota across the Entire Seed Life in the Field. Plants. 13(6). 912–912. 3 indexed citations

Wang, Nanzhe, Qinzhuo Liao, Haibin Chang, & Dongxiao Zhang. (2023). Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network. Computational Geosciences. 27(6). 913–938. 5 indexed citations

Wang, Nanzhe, Haibin Chang, & Dongxiao Zhang. (2023). Inverse Modeling for Subsurface Flow Based on Deep Learning Surrogates and Active Learning Strategies. Water Resources Research. 59(7). 15 indexed citations

Wang, Nanzhe, et al.. (2023). Deep learning based closed-loop well control optimization of geothermal reservoir with uncertain permeability. Renewable Energy. 211. 379–394. 27 indexed citations

Dai, Jing, Hongtao Zhao, Haibin Chang, et al.. (2023). Comparative Evaluation of Microbially-Produced Biostimulants on Peanut Growth. Sustainability. 15(10). 8025–8025. 2 indexed citations

Wang, Yakun, Liangsheng Shi, Haibin Chang, et al.. (2023). Identification of a soil water flow equation using a two-step data-driven method. Journal of Hydrology. 622. 129707–129707.

10.

Wang, Nanzhe, Haibin Chang, Dongxiao Zhang, Liang Xue, & Yuntian Chen. (2021). Efficient well placement optimization based on theory-guided convolutional neural network. Journal of Petroleum Science and Engineering. 208. 109545–109545. 36 indexed citations

11.

Wang, Nanzhe, Haibin Chang, & Dongxiao Zhang. (2021). Theory-guided Auto-Encoder for surrogate construction and inverse modeling. Computer Methods in Applied Mechanics and Engineering. 385. 114037–114037. 58 indexed citations

12.

Chang, Haibin & Ying Cui. (2021). Image Classification Algorithm Based on Big Data and Multilabel Learning of Improved Convolutional Neural Network. Wireless Communications and Mobile Computing. 2021(1). 4 indexed citations

13.

Wang, Nanzhe, Dongxiao Zhang, Haibin Chang, & Heng Li. (2020). Deep learning of subsurface flow via theory-guided neural network. Journal of Hydrology. 584. 124700–124700. 223 indexed citations breakdown →

14.

Li, Qian, Jue Liu, Lei Zhang, et al.. (2020). Breeding of a novel clubroot disease-resistant Brassica napus variety Huayouza 62R. ACTA AGRONOMICA SINICA. 47(2). 210–223. 10 indexed citations

15.

Wang, Nanzhe, Haibin Chang, & Dongxiao Zhang. (2020). Efficient uncertainty quantification for dynamic subsurface flow with surrogate by Theory-guided Neural Network. Computer Methods in Applied Mechanics and Engineering. 373. 113492–113492. 57 indexed citations

16.

Chang, Haibin, et al.. (2019). An Integrated Approach for History Matching of Multiscale-Fracture Reservoirs. SPE Journal. 24(4). 1508–1525. 15 indexed citations

17.

Chen, Yuntian, Haibin Chang, Meng Jin, & Dongxiao Zhang. (2018). Ensemble Neural Networks (ENN): A gradient-free stochastic method. Neural Networks. 110. 170–185. 35 indexed citations

18.

Chang, Haibin & Dongxiao Zhang. (2017). History Matching of Stimulated Reservoir Volume of Shale-Gas Reservoirs Using an Iterative Ensemble Smoother. SPE Journal. 23(2). 346–366. 17 indexed citations

19.

Zeng, Lingzao, Haibin Chang, & Dongxiao Zhang. (2011). A Probabilistic Collocation-Based Kalman Filter for History Matching. SPE Journal. 16(2). 294–306. 28 indexed citations

20.

Dey, Dipak K., Sujit K. Ghosh, & Haibin Chang. (1997). MEASURING THE EFFECT OF OBSERVATIONS USING THE POSTERIOR AND THE INTRINSICBAYES FACTORS WITH VAGUE PRIOR INFORMATION. NCSU Libraries Repository (North Carolina State University Libraries). 59(3). 376–391. 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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