Mo Ji
Impact in
- Geophysics top 5%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Geology top 5%
- Geological and Geophysical Studies
Papers in
- Geophysics 13
- Geological and Geochemical Analysis 12
- High-pressure geophysics and materials 9
- earthquake and tectonic studies 5
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- Hydrocarbon exploration and reservoir analysis 5
- Co-authors
- Junlai Liu (11 shared papers)Liang Shen (6 shared papers)G. A. Davis (3 shared papers)Zhidan Zhao (1 shared paper)Zhaochong Zhang (1 shared paper)Liyun Zhou (1 shared paper)Jing Zhang (1 shared paper)Hongjun Qu (2 shared papers)
- Journals
- Science China Earth Sciences (4 papers)Metallurgical and Materials Transactions A (3 papers)Terra Nova (1 paper)Metals (1 paper)Tectonophysics (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Mo Ji
27 papers receiving 513 citations
Peers
Comparison fields: 5 of 51
- Geophysics 431
- Geology 91
- Geochemistry and Petrology 28
- Artificial Intelligence 133
- Mechanics of Materials 80
Countries citing papers authored by Mo Ji
This map shows the geographic impact of Mo Ji'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 Mo Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mo Ji more than expected).
Fields of papers citing papers by Mo Ji
This network shows the impact of papers produced by Mo Ji. 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 Mo Ji. The network helps show where Mo Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Mo Ji, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 126 | |
| 2 | 2011 | 76 | |
| 3 | 2008 | 66 | |
| 4 | 2006 | 45 | |
| 5 | 2010 | 41 | |
| 6 | 2015 | 37 | |
| 7 | 2023 | 25 | |
| 8 | 2021 | 21 | |
| 9 | 2011 | 20 | |
| 10 | 2020 | 20 | |
| 11 | 2020 | 12 | |
| 12 | 2013 | 9 | |
| 13 | 2019 | 7 | |
| 14 | 2017 | 5 | |
| 15 | 2010 | 5 | |
| 16 | 2018 | 5 | |
| 17 | 2021 | 4 | |
| 18 | 2021 | 3 | |
| 19 | 2012 | 3 | |
| 20 | 2020 | 3 |
About Mo Ji
Mo Ji is a scholar working on Geophysics, Mechanics of Materials, Geology, Mechanical Engineering and Artificial Intelligence, having authored 29 papers that have together received 542 indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (12 papers), High-pressure geophysics and materials (9 papers), Geological and Geophysical Studies (7 papers), Hydrocarbon exploration and reservoir analysis (5 papers), earthquake and tectonic studies (5 papers), Microstructure and Mechanical Properties of Steels (5 papers), Geochemistry and Geologic Mapping (4 papers) and Microstructure and mechanical properties (4 papers). The work is most often cited by research in Geophysics (431 citations), Geology (91 citations), Geochemistry and Petrology (28 citations), Artificial Intelligence (133 citations) and Mechanics of Materials (80 citations). Mo Ji has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Junlai Liu, Liang Shen, G. A. Davis, Zhidan Zhao, Zhaochong Zhang, Liyun Zhou, Jing Zhang, Hongjun Qu, Rui Sun and Gongcheng Zhang. Their work appears in journals such as Science China Earth Sciences, Metallurgical and Materials Transactions A, Terra Nova, Metals and Tectonophysics.
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.