Ji Chang
Impact in
- Ocean Engineering top 5%
- Reservoir Engineering and Simulation Methods
- Drilling and Well Engineering
- Mechanics of Materials top 10%
- Hydrocarbon exploration and reservoir analysis
Papers in
-
- Reservoir Engineering and Simulation Methods 5
- Oil and Gas Production Techniques 3
-
- Seismic Imaging and Inversion Techniques 7
- Co-authors
- Wenjun Lv (24 shared papers)Zerui Li (16 shared papers)Yu Kang (15 shared papers)Wei Xing Zheng (5 shared papers)Haining Liu (5 shared papers)Yuping Wu (6 shared papers)Ting Xu (5 shared papers)Xiaochuan Li (3 shared papers)
- Journals
- Sensors (3 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)Journal of Petroleum Science and Engineering (2 papers)IEEE Geoscience and Remote Sensing Letters (2 papers)Geophysics (1 paper)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Ji Chang
31 papers receiving 421 citations
Peers
Comparison fields: 5 of 71
- Ocean Engineering 124
- Mechanics of Materials 180
- Geophysics 77
- Mechanical Engineering 187
- Artificial Intelligence 122
Countries citing papers authored by Ji Chang
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
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-authors
The 25 scholars most cited alongside Ji Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 75 | |
| 2 | 2020 | 54 | |
| 3 | 2019 | 35 | |
| 4 | 2021 | 34 | |
| 5 | 2021 | 31 | |
| 6 | 2020 | 29 | |
| 7 | 2020 | 28 | |
| 8 | 2020 | 19 | |
| 9 | 2021 | 17 | |
| 10 | 2007 | 17 | |
| 11 | 2020 | 17 | |
| 12 | 2021 | 11 | |
| 13 | 2023 | 7 | |
| 14 | 2025 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2021 | 4 |
About Ji Chang
Ji Chang is a scholar working on Ocean Engineering, Geophysics, Mechanical Engineering, Artificial Intelligence and Mechanics of Materials, having authored 34 papers that have together received 426 indexed citations. Recurring topics across this work include Hydraulic Fracturing and Reservoir Analysis (11 papers), Hydrocarbon exploration and reservoir analysis (8 papers), Seismic Imaging and Inversion Techniques (7 papers), Reservoir Engineering and Simulation Methods (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Oil and Gas Production Techniques (3 papers), Mineral Processing and Grinding (3 papers) and Smart Agriculture and AI (3 papers). The work is most often cited by research in Ocean Engineering (124 citations), Mechanics of Materials (180 citations), Geophysics (77 citations), Mechanical Engineering (187 citations) and Artificial Intelligence (122 citations). Ji Chang has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Wenjun Lv, Zerui Li, Yu Kang, Wei Xing Zheng, Haining Liu, Yuping Wu, Ting Xu, Xiaochuan Li, Yingchang Cao and Yuling Li. Their work appears in journals such as Sensors, IEEE Transactions on Instrumentation and Measurement, Journal of Petroleum Science and Engineering, IEEE Geoscience and Remote Sensing Letters and Geophysics.
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.