Chaofan Shi

492 total citations
39 papers, 377 citations indexed

About

Chaofan Shi is a scholar working on Ecology, Evolution, Behavior and Systematics, Paleontology and Genetics. According to data from OpenAlex, Chaofan Shi has authored 39 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Ecology, Evolution, Behavior and Systematics, 7 papers in Paleontology and 6 papers in Genetics. Recurrent topics in Chaofan Shi's work include Fossil Insects in Amber (32 papers), Plant and animal studies (29 papers) and Hymenoptera taxonomy and phylogeny (15 papers). Chaofan Shi is often cited by papers focused on Fossil Insects in Amber (32 papers), Plant and animal studies (29 papers) and Hymenoptera taxonomy and phylogeny (15 papers). Chaofan Shi collaborates with scholars based in China, United States and Australia. Chaofan Shi's co-authors include Dong Ren, Qiang Yang, Shaun L. Winterton, Liming Luo, Zhong Sun, Ruixue Liu, Minhua Wu, Hong Pang, Vladimir N. Makarkin and Chungkun Shih and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Energy Policy.

In The Last Decade

Chaofan Shi

36 papers receiving 364 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chaofan Shi China 10 273 46 38 27 24 39 377
Jennifer Schellinger United States 9 10 0.0× 98 2.1× 12 0.3× 9 0.3× 55 2.3× 19 346
Daniela Fiedler Germany 9 44 0.2× 80 1.7× 34 0.9× 1 0.0× 32 1.3× 19 219
Petr Novotný Czechia 9 32 0.1× 26 0.6× 8 0.2× 2 0.1× 10 0.4× 25 269
Petra Kranzfelder United States 11 23 0.1× 114 2.5× 27 0.7× 1 0.0× 35 1.5× 22 265
Christopher J. Wagner United States 10 89 0.3× 76 1.7× 4 0.1× 57 2.4× 20 342
Nazia Suleman Pakistan 13 260 1.0× 16 0.3× 39 1.0× 5 0.2× 39 380
Eliza Rybska Poland 9 17 0.1× 59 1.3× 3 0.1× 3 0.1× 19 0.8× 33 180
Melanie A. Link‐Pérez United States 8 73 0.3× 21 0.5× 10 0.3× 5 0.2× 8 0.3× 11 174
Daniel Cebrián Robles Spain 10 14 0.1× 127 2.8× 10 0.3× 5 0.2× 63 2.6× 53 299
Dominic C. Henri United Kingdom 6 27 0.1× 82 1.8× 6 0.2× 13 0.5× 12 187

Countries citing papers authored by Chaofan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Chaofan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaofan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Chaofan Shi. A scholar is included among the top collaborators of Chaofan Shi 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 Chaofan Shi. Chaofan Shi 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
1.
Wang, H. Z., Shumin Li, Z. X. Peng, et al.. (2025). Dynamic interplay between niche variation and flight adaptability drove a hundred million years’ dispersion in iconic lacewings. Proceedings of the National Academy of Sciences. 122(19). e2414549122–e2414549122.
2.
Wang, Yongfei, Chaofan Shi, Dong Ren, & Qiang Yang. (2025). New species of green lacewings indicate the diversity of Mesypochrysa (Insecta, Neuroptera, Chrysopidae) from the Middle Jurassic of China. Die Naturwissenschaften. 112(5). 56–56.
3.
Shi, Chaofan, Qinliang Tan, Jiahui Yang, et al.. (2024). Simulation of hydrogen transportation development path and carbon emission reduction path based on LEAP model - A case study of Beijing-Tianjin-Hebei Region. Energy Policy. 194. 114337–114337. 9 indexed citations
4.
Peng, Z. X., et al.. (2024). Two interesting new genera of kalligrammatids (Insecta: Neuroptera) from Upper Cretaceous Myanmar amber. Palaeoentomology. 7(3). 422–434. 1 indexed citations
5.
6.
Shi, Chaofan, Hongsheng Zhao, Wan Wang, et al.. (2024). Risk of heavy metal(loid) compositions in fine particulate matter on acute cardiovascular mortality: a poisson analysis in Anyang, China. International Journal of Biometeorology. 68(7). 1275–1286. 2 indexed citations
7.
Peng, Z. X., et al.. (2024). One New Genus and Four New Species of Beaded Lacewings (Neuroptera: Berothidae) from Upper Cretaceous Myanmar Amber. Insects. 15(4). 259–259. 1 indexed citations
8.
Chen, Liang, Shilong Guo, Nan Yang, et al.. (2024). Reconstructing fossil insect communities and palaeoclimates for the Middle Jurassic Yanliao Biota in the Daohugou area of China. Science Bulletin. 70(2). 176–179. 3 indexed citations
9.
Shi, Chaofan, et al.. (2023). Exploring the intentional unsafe behavior of workers in prefabricated construction based on structural equation modeling. Environmental Science and Pollution Research. 31(1). 1589–1606. 7 indexed citations
10.
Yang, Qiang, Dong Ren, & Chaofan Shi. (2023). New petalurid dragonfly (Odonata: Aktassiidae) from the Lower Cretaceous of northern China. Cretaceous Research. 151. 105609–105609. 2 indexed citations
11.
Chen, Xinrui, et al.. (2022). A new mesochrysopid (Insecta: Neuroptera) from Upper Cretaceous. Zootaxa. 5134(4). 597–600. 1 indexed citations
12.
Sun, Panpan, Xiaoli Fu, Lifang Jiang, et al.. (2022). The type of previous abortion modifies the association between air pollution and the risk of preterm birth. Environmental Research. 212(Pt A). 113166–113166. 8 indexed citations
13.
Zhang, Tianwei, Chaosheng Luo, Chaofan Shi, Qiang Yang, & Dong Ren. (2020). New species of green lacewings (Insecta, Neuroptera) from the Lower Cretaceous of China. Cretaceous Research. 115. 104564–104564. 4 indexed citations
14.
Yang, Qiang, et al.. (2019). A new genus and species of berothids (Insecta, Neuroptera) from the Late Cretaceous Myanmar amber. ZooKeys. 864. 99–109. 10 indexed citations
15.
Yang, Qiang, Chaofan Shi, Hong Pang, & Dong Ren. (2019). A new genus of giant lacewing (Insecta, Neuroptera, Ithonidae) from the Middle Jurassic of China. Zootaxa. 4613(2). zootaxa.4613.2.11–zootaxa.4613.2.11. 1 indexed citations
16.
Yang, Qiang, Chaofan Shi, Xiangchuan Li, Hong Pang, & Dong Ren. (2018). The first fossil brown lacewing from the Miocene of the Tibetan Plateau (Neuroptera, Hemerobiidae). ZooKeys. 726(726). 145–154. 4 indexed citations
17.
Yang, Qiang, Chaofan Shi, Dong Ren, Yongjie Wang, & Hong Pang. (2018). New genus and species of sisyrids (Insecta, Neuroptera) from the Late Cretaceous Myanmar amber. ZooKeys. 739(739). 151–158. 7 indexed citations
18.
Shi, Chaofan, Vladimir N. Makarkin, Qiang Yang, S. Bruce Archibald, & Dong Ren. (2013). <strong>New species of <em>Nymphites</em> Haase (Neuroptera: Nymphidae) from the Middle Jurassic of China, with a redescription of the type species of the genus </strong>. Zootaxa. 3700(3). 393–393. 6 indexed citations
19.
20.
Shi, Chaofan, Qiang Yang, & Dong Ren. (2011). Two New Fossil Lacewing Species from the Middle Jurassic of Inner Mongolia, China (Neuroptera: Grammolingiidae). Acta Geologica Sinica - English Edition. 85(2). 482–489. 31 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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