Wu‐Bin Yang
Impact in
- Geophysics top 2%
- Geological and Geochemical Analysis
- earthquake and tectonic studies
- High-pressure geophysics and materials
- Geochemistry and Petrology top 2%
- Geochemistry and Elemental Analysis
Papers in
- Geophysics 49
- Geological and Geochemical Analysis 49
- earthquake and tectonic studies 31
- High-pressure geophysics and materials 23
-
- Geochemistry and Elemental Analysis 16
- Mineralogy and Gemology Studies 2
Wu‐Bin Yang
53 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 45
- Geophysics 1.1k
- Geochemistry and Petrology 252
- Artificial Intelligence 582
- Paleontology 54
- Geology 25
Countries citing papers authored by Wu‐Bin Yang
This map shows the geographic impact of Wu‐Bin Yang'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 Wu‐Bin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu‐Bin Yang more than expected).
Fields of papers citing papers by Wu‐Bin Yang
This network shows the impact of papers produced by Wu‐Bin Yang. 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 Wu‐Bin Yang. The network helps show where Wu‐Bin Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu‐Bin Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 25 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 20 | |
| 12 | 2021 | 11 | |
| 13 | 2019 | 31 | |
| 14 | 2016 | 7 | |
| 15 | 2013 | 46 | |
| 16 | Study on the Cu-mineralization of the Chagangnuoer Fe-deposit in the Awulale area,Xinjiang | 2012 | 1 |
| 17 | Melt and melt-fluid inclusions in the Baerzhe alkaline granite:Information of the magmatic-hydrothermal transition | 2011 | 10 |
| 18 | ~(40)Ar/~(39)Ar age and geochemistry of the ultrapotassic magmatic rocks from Bugula in Nileke,Xinjiang and its tectonic implication | 2010 | 1 |
| 19 | Geochemistry of the Nb-enriched basalt and its significances in Zaheba ophiolite melange. | 2009 | 2 |
| 20 | Ore-forming mechanism of the Baerzhe super-large rare and rare earth elements deposit | 2009 | 16 |
About Wu‐Bin Yang
Wu‐Bin Yang is a scholar working on Geophysics, Geochemistry and Petrology, Paleontology, Artificial Intelligence and Economics and Econometrics, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (49 papers), earthquake and tectonic studies (31 papers), High-pressure geophysics and materials (23 papers), Geochemistry and Geologic Mapping (20 papers), Geochemistry and Elemental Analysis (16 papers), Geochemistry and Geochronology of Asian Mineral Deposits (6 papers), Paleontology and Stratigraphy of Fossils (5 papers) and Mineralogy and Gemology Studies (2 papers). The work is most often cited by research in Geophysics (1.1k citations), Geochemistry and Petrology (252 citations), Artificial Intelligence (582 citations), Paleontology (54 citations) and Geology (25 citations). Wu‐Bin Yang has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include He‐Cai Niu, Ningbo Li, Qiang Shan, Weidong Sun, Yuhang Jiang, Xueyuan Yu, Zhiwei Bao, Hong Zhang, He Li and Deru Xu. Their work appears in journals such as Ore Geology Reviews, Journal of Asian Earth Sciences, Lithos, Geological Society of America Bulletin and Mineralium Deposita.
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.