Ji Chang

438 total citations
24 papers, 295 citations indexed

About

Ji Chang is a scholar working on Artificial Intelligence, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Ji Chang has authored 24 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 11 papers in Mechanical Engineering and 6 papers in Mechanics of Materials. Recurrent topics in Ji Chang's work include Hydraulic Fracturing and Reservoir Analysis (9 papers), Seismic Imaging and Inversion Techniques (6 papers) and Hydrocarbon exploration and reservoir analysis (6 papers). Ji Chang is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (9 papers), Seismic Imaging and Inversion Techniques (6 papers) and Hydrocarbon exploration and reservoir analysis (6 papers). Ji Chang collaborates with scholars based in China, Australia and United Kingdom. Ji Chang's co-authors include Wenjun Lv, Zerui Li, Yu Kang, Wei Xing Zheng, Ting Xu, Xiaochuan Li, Haining Liu, Yuping Wu, Yang Cao and Yuling Li and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Transactions on Geoscience and Remote Sensing and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Ji Chang

20 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji Chang China 10 147 133 98 93 57 24 295
Zerui Li China 14 207 1.4× 165 1.2× 147 1.5× 108 1.2× 68 1.2× 36 438
Yunxin Xie China 7 198 1.3× 184 1.4× 147 1.5× 135 1.5× 57 1.0× 10 373
G. Bernasconi Italy 10 102 0.7× 69 0.5× 20 0.2× 167 1.8× 122 2.1× 71 355
Yuping Wu China 9 45 0.3× 39 0.3× 47 0.5× 36 0.4× 13 0.2× 20 161
Pingan Peng China 10 27 0.2× 59 0.4× 160 1.6× 56 0.6× 164 2.9× 29 296
Zhongbin Wang China 9 146 1.0× 63 0.5× 29 0.3× 52 0.6× 9 0.2× 32 259
Min Jin China 11 147 1.0× 63 0.5× 22 0.2× 96 1.0× 27 0.5× 27 376
Aishan Li China 10 211 1.4× 219 1.6× 39 0.4× 198 2.1× 45 0.8× 30 370
Kamran Esmaeili Canada 13 185 1.3× 177 1.3× 75 0.8× 67 0.7× 22 0.4× 37 437

Countries citing papers authored by Ji Chang

Since Specialization
Citations

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

Fields of papers citing papers by Ji Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Ji Chang. A scholar is included among the top collaborators of Ji 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 Ji Chang. Ji Chang 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.
Li, Yuling, et al.. (2025). Hierarchical feature-guided prototypical network for few-shot knowledge graph completion. Neural Networks. 191. 107702–107702.
2.
Zhang, W. M., B. Li, Zhenyu Qi, et al.. (2025). Expressway Traffic Trajectory Recognition on DAS Vibration Spatiotemporal Images. IEEE Transactions on Intelligent Transportation Systems. 26(4). 5120–5134. 1 indexed citations
3.
Li, Zerui, et al.. (2024). Borehole lithology modelling with scarce labels by deep transductive learning. Computers & Geosciences. 192. 105706–105706. 3 indexed citations
4.
5.
6.
Wu, Yuping, Wenjun Lv, Zerui Li, et al.. (2022). Unsupervised domain adaptation for vibration-based robotic ground classification in dynamic environments. Mechanical Systems and Signal Processing. 169. 108648–108648. 3 indexed citations
7.
Chang, Ji, et al.. (2021). SegLog: Geophysical Logging Segmentation Network for Lithofacies Identification. IEEE Transactions on Industrial Informatics. 18(9). 6089–6099. 14 indexed citations
8.
Xu, Ting, Ji Chang, Yu Kang, et al.. (2021). Intelligent Cross-Well Sandstone Prediction Based on Convolutional Neural Network. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 4 indexed citations
9.
Liu, Shuang, Yuping Wu, Wenjun Lv, et al.. (2021). Broad Feature Alignment for Robotic Ground Classification in Dynamic Environment. IEEE Transactions on Industrial Electronics. 69(3). 2697–2707. 3 indexed citations
10.
Chang, Ji, Yu Kang, Wei Xing Zheng, et al.. (2021). Active Domain Adaptation With Application to Intelligent Logging Lithology Identification. IEEE Transactions on Cybernetics. 52(8). 8073–8087. 33 indexed citations
11.
Xu, Ting, Ji Chang, Wenjun Lv, et al.. (2021). Evaluation of active learning algorithms for formation lithology identification. Journal of Petroleum Science and Engineering. 206. 108999–108999. 29 indexed citations
12.
Chang, Ji, et al.. (2020). Cross-Domain Lithology Identification Using Active Learning and Source Reweighting. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 26 indexed citations
13.
Li, Zerui, et al.. (2020). Semi-supervised learning for lithology identification using Laplacian support vector machine. Journal of Petroleum Science and Engineering. 195. 107510–107510. 69 indexed citations
14.
Li, Zerui, et al.. (2020). Laplacian Support Vector Machine for Vibration-Based Robotic Terrain Classification. Electronics. 9(3). 513–513. 15 indexed citations
15.
Chang, Ji, Jing Li, Yu Kang, et al.. (2020). Unsupervised domain adaptation using maximum mean discrepancy optimization for lithology identification. Geophysics. 86(2). ID19–ID30. 26 indexed citations
16.
Chen, Cheng, et al.. (2020). Frequency-Temporal Disagreement Adaptation for Robotic Terrain Classification via Vibration in a Dynamic Environment. Sensors. 20(22). 6550–6550. 2 indexed citations
17.
Kang, Yu, et al.. (2019). Networked Monitoring of Urban Traffic Emissions. International Journal of Environmental Science and Development. 10(4). 110–113.
18.
19.
Lv, Wenjun, Ji Chang, Yu Kang, Yun‐Bo Zhao, & Zerui Li. (2018). Terrain Vision Aided Online Estimation of Instantaneous Centers of Rotation for Skid-Steering Mobile Robots. 516–521. 2 indexed citations
20.
Brown, Adam S., Deborah E. Citrin, Honglan Xie, et al.. (2008). Image Guided, Motion-free Patient Body Setup using 3D Volumetric Image Registration of Classified Stable Bony Landmarks. International Journal of Radiation Oncology*Biology*Physics. 72(1). S535–S535. 1 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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