Yezhong Tang

1.6k total citations
89 papers, 1.1k citations indexed

About

Yezhong Tang is a scholar working on Ecology, Evolution, Behavior and Systematics, Global and Planetary Change and Developmental Biology. According to data from OpenAlex, Yezhong Tang has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Ecology, Evolution, Behavior and Systematics, 40 papers in Global and Planetary Change and 39 papers in Developmental Biology. Recurrent topics in Yezhong Tang's work include Animal Behavior and Reproduction (48 papers), Animal Vocal Communication and Behavior (39 papers) and Amphibian and Reptile Biology (39 papers). Yezhong Tang is often cited by papers focused on Animal Behavior and Reproduction (48 papers), Animal Vocal Communication and Behavior (39 papers) and Amphibian and Reptile Biology (39 papers). Yezhong Tang collaborates with scholars based in China, United States and Japan. Yezhong Tang's co-authors include Jianguo Cui, Steven E. Brauth, Guangzhan Fang, Catherine E. Carr, Jakob Christensen‐Dalsgaard, Jichao Wang, Fei Xue, Ping Yang, Li Ding and Lin-zhi Zhuang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Yezhong Tang

83 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yezhong Tang China 20 658 558 451 204 199 89 1.1k
Martha L. Tobias United States 19 489 0.7× 339 0.6× 288 0.6× 136 0.7× 101 0.5× 27 980
Andrea Megela Simmons United States 19 1.2k 1.8× 1.1k 2.0× 646 1.4× 494 2.4× 179 0.9× 86 2.0k
Johannes Schul United States 23 1.2k 1.8× 577 1.0× 358 0.8× 127 0.6× 81 0.4× 58 1.4k
Ryan C. Taylor United States 17 728 1.1× 525 0.9× 376 0.8× 225 1.1× 67 0.3× 43 1.1k
Benjamin Arthur United States 18 511 0.8× 375 0.7× 100 0.2× 388 1.9× 153 0.8× 29 1.3k
Jakob Christensen‐Dalsgaard Denmark 26 912 1.4× 1.0k 1.8× 616 1.4× 801 3.9× 207 1.0× 103 1.9k
Daphne Soares United States 18 193 0.3× 214 0.4× 278 0.6× 335 1.6× 147 0.7× 40 1.0k
Heiner Römer Austria 22 1.4k 2.2× 718 1.3× 179 0.4× 210 1.0× 70 0.4× 62 1.7k
P. George Lovell United Kingdom 20 556 0.8× 93 0.2× 223 0.5× 427 2.1× 259 1.3× 46 1.3k
Sarah Partan United States 14 964 1.5× 710 1.3× 232 0.5× 337 1.7× 464 2.3× 17 1.9k

Countries citing papers authored by Yezhong Tang

Since Specialization
Citations

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

Fields of papers citing papers by Yezhong Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yezhong Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Yezhong Tang. A scholar is included among the top collaborators of Yezhong Tang 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 Yezhong Tang. Yezhong Tang 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.
Luo, Yin, Yun‐Feng Huang, Guangzhan Fang, N. Tan, & Yezhong Tang. (2025). Efficient recognition of Parkinson’s disease mice on stepping characters with CNN. Scientific Reports. 15(1). 2566–2566. 1 indexed citations
2.
Lü, Fang, et al.. (2024). Image-free recognition of moderate ROP from mild with machine learning algorithm on plasma Raman spectrum. Experimental Eye Research. 239. 109773–109773. 2 indexed citations
3.
Zhou, Ya, Ke Deng, Tongliang Wang, et al.. (2022). Multisensory integration facilitates perceptual restoration of an interrupted call in a species of frog. Behavioral Ecology. 33(4). 876–883. 3 indexed citations
4.
Yao, Ge, Hui Jiang, Song Huang, et al.. (2021). Do pit vipers assess their venom? Defensive tactics of Deinagkistrodon acutus shift with changed venom reserve. Toxicon. 199. 101–108. 7 indexed citations
5.
Santos, Juan C., et al.. (2021). Noise constrains the evolution of call frequency contours in flowing water frogs: a comparative analysis in two clades. Frontiers in Zoology. 18(1). 37–37. 7 indexed citations
6.
Wang, Wenbo, et al.. (2021). Subdivisions of the mesencephalon and isthmus in the lizard Gekko gecko as revealed by ChAT immunohistochemistry. The Anatomical Record. 304(9). 2014–2031. 3 indexed citations
7.
Lü, Fang, et al.. (2019). Metabolomic changes of blood plasma associated with two phases of rat OIR. Experimental Eye Research. 190. 107855–107855. 21 indexed citations
8.
9.
Xue, Fei, et al.. (2018). The right thalamus may play an important role in anesthesia-awakening regulation in frogs. PeerJ. 6. e4516–e4516. 4 indexed citations
10.
Yang, Ping, Fei Xue, Jianguo Cui, et al.. (2018). Auditory sensitivity exhibits sexual dimorphism and seasonal plasticity in music frogs. Journal of Comparative Physiology A. 204(12). 1029–1044. 9 indexed citations
11.
12.
Wang, Jichao, et al.. (2017). Competitive pressures affect sexual signal complexity in Kurixalus odontotarsus: insights into the evolution of compound calls. Biology Open. 6(12). 1913–1918. 9 indexed citations
13.
Brauth, Steven E., et al.. (2017). Sometimes noise is beneficial: stream noise informs vocal communication in the little torrent frog Amolops torrentis. Journal of Ethology. 35(3). 259–267. 16 indexed citations
14.
Xue, Fei, et al.. (2016). A lateralized functional auditory network is involved in anuran sexual selection. Journal of Biosciences. 41(4). 713–726. 2 indexed citations
15.
Tang, Yezhong, Qi-Cai Chen, & Qin Chen. (2016). Specific sensory systems of animals. Chinese Science Bulletin (Chinese Version). 61(23). 2557–2567. 1 indexed citations
16.
Yang, Ping, Guangzhan Fang, Fei Xue, et al.. (2013). Electroencephalographic signals synchronize with behaviors and are sexually dimorphic during the light–dark cycle in reproductive frogs. Journal of Comparative Physiology A. 200(2). 117–127. 10 indexed citations
17.
Fang, Guangzhan, Qin Chen, Jianguo Cui, & Yezhong Tang. (2011). Electroencephalogram bands modulated by vigilance states in an anuran species: a factor analytic approach. Journal of Comparative Physiology A. 198(2). 119–127. 18 indexed citations
18.
Tang, Yezhong, et al.. (2010). Calcium‐binding protein immunoreactivity characterizes the auditory system of Gekko gecko. The Journal of Comparative Neurology. 518(17). 3409–3426. 25 indexed citations
19.
Brauth, Steven E., et al.. (2003). Contact call-driven zenk mRNA expression in the brain of the budgerigar (Melopsittacus undulatus). Molecular Brain Research. 117(1). 97–103. 4 indexed citations
20.
Tang, Yezhong, Lin-zhi Zhuang, & Wang Zuwang. (2001). Advertisement Calls and Their Relation to Reproductive Cycles inGekko gecko(Reptilia, Lacertilia). Copeia. 2001(1). 248–253. 33 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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