Yongjun Shao

1.4k total citations
82 papers, 1.1k citations indexed

About

Yongjun Shao is a scholar working on Geophysics, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, Yongjun Shao has authored 82 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Geophysics, 64 papers in Artificial Intelligence and 16 papers in Geochemistry and Petrology. Recurrent topics in Yongjun Shao's work include Geological and Geochemical Analysis (75 papers), Geochemistry and Geologic Mapping (64 papers) and earthquake and tectonic studies (42 papers). Yongjun Shao is often cited by papers focused on Geological and Geochemical Analysis (75 papers), Geochemistry and Geologic Mapping (64 papers) and earthquake and tectonic studies (42 papers). Yongjun Shao collaborates with scholars based in China, Canada and Australia. Yongjun Shao's co-authors include Yu Zhang, Zhongfa Liu, Yi-Qu Xiong, Qingquan Liu, Huayong Chen, Shao‐Yong Jiang, Dengfeng Li, Yanbo Cheng, Hantao Wei and Yu Zhang and has published in prestigious journals such as Chemical Geology, Journal of Petrology and Lithos.

In The Last Decade

Yongjun Shao

76 papers receiving 1.1k citations

Peers

Yongjun Shao
Yongjun Shao
Citations per year, relative to Yongjun Shao Yongjun Shao (= 1×) peers Guiqing Xie

Countries citing papers authored by Yongjun Shao

Since Specialization
Citations

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

Fields of papers citing papers by Yongjun Shao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongjun Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Yongjun Shao. A scholar is included among the top collaborators of Yongjun Shao 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 Yongjun Shao. Yongjun Shao 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
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Shao, Yongjun, et al.. (2024). Pyrite geochemical fingerprinting on skarn ore-forming processes: A case study from the Huangshaping W–Sn–Cu–Pb–Zn deposit in the Nanling Range, South China. Journal of Geochemical Exploration. 262. 107474–107474. 6 indexed citations
8.
Shao, Yongjun, et al.. (2024). Development of a machine learning model to classify mineral deposits using sphalerite chemistry and mineral assemblages. Ore Geology Reviews. 169. 106076–106076. 7 indexed citations
9.
Liu, Lei, et al.. (2023). Study on Yanshanian metallogenic granitoids magmatism in Baoshan deposit, southern Hunan Province. Acta Petrologica Sinica. 39(3). 886–906. 4 indexed citations
10.
Shao, Yongjun, et al.. (2023). Hydrothermal fluid characteristics of the huayuan Pb-Zn orefield: Constraints from apatite major and trace element compositions. Frontiers in Earth Science. 10. 3 indexed citations
11.
Zhao, Hongtao, et al.. (2023). Big data mining on trace element geochemistry of sphalerite. Journal of Geochemical Exploration. 252. 107254–107254. 18 indexed citations
13.
Chen, Jianfeng, Yongjun Shao, Jinxu Zhang, et al.. (2019). Silurian S-type granite-related W-(Mo) mineralization in the Nanling Range, South China: A case study of the Pingtan W-(Mo) deposit. Ore Geology Reviews. 107. 186–200. 30 indexed citations
14.
Liu, Qingquan, Yongjun Shao, Keping Zhou, & Yongfeng Li. (2018). Petrogenesis of granite from Xiaofan Mo deposit, Dabie Orogen. Journal of Central South University. 25(6). 1489–1500. 2 indexed citations
15.
Liu, Jianping, et al.. (2017). Indium Mineralization in the Yejiwei Sn‐Polymetallic Deposit of the Shizhuyuan Orefield, Southern Hunan, China. Resource Geology. 68(1). 22–36. 13 indexed citations
16.
Liu, Qingquan, Yongjun Shao, Xinmeng Chen, Zhongfa Liu, & Zhe Zhang. (2016). Petrogeochemistry,Geochronology and Hf Isotopes of the Monzogranite from Xinxian,Southern Region in Henan Province. 41(8). 1294. 4 indexed citations
17.
Liu, Jianping, Xiangping Gu, Yongjun Shao, Yuzhou Feng, & Jianqing Lai. (2016). Indium Mineralization in Copper–Tin Stratiform Skarn Ores at the Saishitang–Rilonggou Ore Field, Qinghai, Northwest China. Resource Geology. 66(4). 351–367. 7 indexed citations
18.
Liu, Zhongfa, et al.. (2012). Rock-forming mechanism of Yueshan intrusion,Tongling, Anhui Province, China. The Chinese Journal of Nonferrous Metals. 22(3). 652–659. 2 indexed citations
19.
Shao, Yongjun, et al.. (2008). Formation mechanism of breccia pipe type in Yixingzhai gold deposit. Journal of Central South University of Technology. 15(1). 89–94. 2 indexed citations
20.
Shao, Yongjun, Shenglin Peng, Ganguo Wu, et al.. (2003). Rock-forming mechanism of Fenghuangshan rockbody in Tongling area. Journal of Central South University of Technology. 10(3). 216–221. 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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