Liangjun Yuan

574 total citations
15 papers, 451 citations indexed

About

Liangjun Yuan is a scholar working on Geochemistry and Petrology, Paleontology and Artificial Intelligence. According to data from OpenAlex, Liangjun Yuan has authored 15 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Geochemistry and Petrology, 6 papers in Paleontology and 6 papers in Artificial Intelligence. Recurrent topics in Liangjun Yuan's work include Geological and Geochemical Analysis (6 papers), Paleontology and Stratigraphy of Fossils (6 papers) and Geochemistry and Geologic Mapping (6 papers). Liangjun Yuan is often cited by papers focused on Geological and Geochemical Analysis (6 papers), Paleontology and Stratigraphy of Fossils (6 papers) and Geochemistry and Geologic Mapping (6 papers). Liangjun Yuan collaborates with scholars based in China and United States. Liangjun Yuan's co-authors include Yuansheng Du, Qi Zhou, Wenchao Yu, Thomas J. Algeo, Wen Pan, Yuan Xu, Ping Wang, Liang Qi, Taihong Shi and Bing Tang and has published in prestigious journals such as Journal of Hazardous Materials, Earth-Science Reviews and Precambrian Research.

In The Last Decade

Liangjun Yuan

11 papers receiving 437 citations

Peers

Liangjun Yuan
Suvankar Chakraborty United States
Jason M. Huberty United States
Drew D. Syverson United States
A. J. G. Notholt United Kingdom
Suvankar Chakraborty United States
Liangjun Yuan
Citations per year, relative to Liangjun Yuan Liangjun Yuan (= 1×) peers Suvankar Chakraborty

Countries citing papers authored by Liangjun Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Liangjun Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liangjun Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Liangjun Yuan. A scholar is included among the top collaborators of Liangjun Yuan 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 Liangjun Yuan. Liangjun Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
2.
Yuan, Liangjun, et al.. (2025). A study on the Manganese-Bearing fluid Diapir–Discharge structural system of the Datangpo-Type manganese deposits in China. Journal of Asian Earth Sciences. 292. 106723–106723.
3.
Zhou, Qi, Liangjun Yuan, Sui Zhang, et al.. (2025). Development and application of a technological system for exploration of “Datangpo-type” concealed manganese deposits in China. Journal of Asian Earth Sciences. 292. 106727–106727.
5.
Wang, Ping, Jian Wang, Yuansheng Du, et al.. (2024). Manganese mineralization constrained by redox conditions in the Cryogenian Nanhua Basin, South China and its implications for nitrogen and carbon cycling. Frontiers in Marine Science. 11. 1 indexed citations
6.
Xu, Kai, et al.. (2024). Manganese mineral prospectivity based on deep convolutional neural networks in Songtao of northeastern Guizhou. Earth Science Informatics. 17(2). 1681–1697. 2 indexed citations
7.
Zhou, Qi, Xiangyun Hu, Xialin Zhang, et al.. (2022). A new metallogenic model for the giant manganese deposits in northeastern Guizhou, China. Ore Geology Reviews. 149. 105070–105070. 11 indexed citations
8.
10.
Wang, Ping, Yuansheng Du, Wenchao Yu, et al.. (2019). The chemical index of alteration (CIA) as a proxy for climate change during glacial-interglacial transitions in Earth history. Earth-Science Reviews. 201. 103032–103032. 176 indexed citations
11.
Wang, Ping, Thomas J. Algeo, Qi Zhou, et al.. (2019). Large accumulations of 34S-enriched pyrite in a low-sulfate marine basin: The Sturtian Nanhua Basin, South China. Precambrian Research. 335. 105504–105504. 30 indexed citations
12.
Wang, Ping, Thomas J. Algeo, Wenchao Yu, et al.. (2017). POST-STURTIAN SULFUR ISOTOPE ANOMALIES IN THE NANHUA BASIN, SOUTH CHINA RELATED TO UPWARD H2S MIGRATION. Abstracts with programs - Geological Society of America. 1 indexed citations
13.
Yu, Wenchao, Thomas J. Algeo, Yuansheng Du, et al.. (2017). Newly discovered Sturtian cap carbonate in the Nanhua Basin, South China. Precambrian Research. 293. 112–130. 68 indexed citations
14.
Yu, Wenchao, Thomas J. Algeo, Yuansheng Du, et al.. (2016). Genesis of Cryogenian Datangpo manganese deposit: Hydrothermal influence and episodic post-glacial ventilation of Nanhua Basin, South China. Palaeogeography Palaeoclimatology Palaeoecology. 459. 321–337. 98 indexed citations
15.
Tang, Bing, et al.. (2008). Preparation of nano-sized magnetic particles from spent pickling liquors by ultrasonic-assisted chemical co-precipitation. Journal of Hazardous Materials. 163(2-3). 1173–1178. 59 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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