Runlong Fan

635 total citations · 1 hit paper
14 papers, 246 citations indexed

About

Runlong Fan is a scholar working on Artificial Intelligence, Geophysics and Spectroscopy. According to data from OpenAlex, Runlong Fan has authored 14 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Geophysics and 3 papers in Spectroscopy. Recurrent topics in Runlong Fan's work include Geological and Geochemical Analysis (4 papers), Geochemistry and Geologic Mapping (3 papers) and High-pressure geophysics and materials (3 papers). Runlong Fan is often cited by papers focused on Geological and Geochemical Analysis (4 papers), Geochemistry and Geologic Mapping (3 papers) and High-pressure geophysics and materials (3 papers). Runlong Fan collaborates with scholars based in China, Australia and United States. Runlong Fan's co-authors include Dunyi Liu, Ian S. Williams, Mingzhu Ma, Chunyan Dong, Yusheng Wan, Yuruo Shi, Di Tian, Ying Zheng, Zhen Liu and Li Yao and has published in prestigious journals such as Science, Chemical Geology and Analytical and Bioanalytical Chemistry.

In The Last Decade

Runlong Fan

13 papers receiving 241 citations

Hit Papers

Isotopic and compositional constraints on the source of b... 2025 2026 2025 5 10 15

Peers

Runlong Fan
Comparison fields: 5 of 59
  • Geophysics 142
  • Artificial Intelligence 43
  • Molecular Biology 24
  • Spectroscopy 23
  • Analytical Chemistry 23
Replace Bill Appelbe with:
Bill Appelbe United States
Rong Yin China
Hiroaki Murakami Japan
Kaiguang Zhu China
Dawei Mu United States
Weijun Liu China
M.McGee Wood United Kingdom
Sanjeev Kumar Mishra India
Leonardo Amoruso Italy
M. Gangloff France
Bill Appelbe United States View profile →
Citations per field, relative to Runlong Fan
Runlong Fan · 1×
Citations per year, relative to Runlong Fan
Runlong Fan · 1×

Countries citing papers authored by Runlong Fan

Since Specialization
Citations

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

Fields of papers citing papers by Runlong Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Runlong Fan

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

All Works

14 of 14 papers shown
# Work Indexed citations
1
Isotopic and compositional constraints on the source of basalt collected from the lunar farside breakdown →
18
2 1
3 8
4 2
5 2
6 19
7 14
8 0
9 1
10 13
11 25
12 13
13 6
14 124

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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