Junxian Shen

2.1k total citations
69 papers, 1.5k citations indexed

About

Junxian Shen is a scholar working on Ecology, Evolution, Behavior and Systematics, Control and Systems Engineering and Developmental Biology. According to data from OpenAlex, Junxian Shen has authored 69 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Ecology, Evolution, Behavior and Systematics, 20 papers in Control and Systems Engineering and 20 papers in Developmental Biology. Recurrent topics in Junxian Shen's work include Animal Vocal Communication and Behavior (20 papers), Machine Fault Diagnosis Techniques (18 papers) and Animal Behavior and Reproduction (14 papers). Junxian Shen is often cited by papers focused on Animal Vocal Communication and Behavior (20 papers), Machine Fault Diagnosis Techniques (18 papers) and Animal Behavior and Reproduction (14 papers). Junxian Shen collaborates with scholars based in China, United States and Czechia. Junxian Shen's co-authors include Zhimin Xu, Zulin Yu, Yifan Hu, Albert S. Feng, Peter M. Narins, Feiyun Xu, He Wang, Qiang Qiu, Di Song and Wenyu Lin and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Junxian Shen

63 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junxian Shen China 18 492 462 318 274 231 69 1.5k
Gunnar Johansson Sweden 25 101 0.2× 133 0.3× 286 0.9× 138 0.5× 88 0.4× 87 5.1k
Robert G. Cook United States 35 768 1.6× 457 1.0× 123 0.4× 60 0.2× 23 0.1× 147 4.2k
Fred Delcomyn United States 24 405 0.8× 45 0.1× 111 0.3× 54 0.2× 142 0.6× 55 2.3k
John Hallam Denmark 24 200 0.4× 127 0.3× 182 0.6× 22 0.1× 163 0.7× 130 2.0k
Isao T. Tokuda Japan 25 152 0.3× 326 0.7× 68 0.2× 75 0.3× 59 0.3× 155 2.2k
Jesús B. Alonso Spain 24 43 0.1× 78 0.2× 337 1.1× 17 0.1× 207 0.9× 170 2.8k
Robert Brandt Germany 24 1.1k 2.2× 14 0.0× 423 1.3× 67 0.2× 65 0.3× 50 2.9k
H. Cruse Germany 33 373 0.8× 8 0.0× 250 0.8× 33 0.1× 159 0.7× 67 3.0k
Charles W. Radcliffe United States 21 505 1.0× 50 0.1× 249 0.8× 603 2.2× 108 0.5× 61 1.5k
Mark Nelson United States 26 227 0.5× 59 0.1× 54 0.2× 18 0.1× 57 0.2× 59 2.5k

Countries citing papers authored by Junxian Shen

Since Specialization
Citations

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

Fields of papers citing papers by Junxian Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junxian Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Junxian Shen. A scholar is included among the top collaborators of Junxian Shen 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 Junxian Shen. Junxian Shen 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.
Shen, Junxian, Ertao Gao, Tianchi Ma, & Feiyun Xu. (2025). An unsupervised mixed-up differential replay mechanism for propagation detection of blade crack. Advanced Engineering Informatics. 68. 103732–103732. 1 indexed citations
2.
Shen, Junxian, Tianchi Ma, Di Song, & Feiyun Xu. (2024). An embedded physical information network for blade crack detection considering dynamic multi-level credibility. Mechanical Systems and Signal Processing. 224. 111948–111948. 6 indexed citations
3.
Song, Di, Tianchi Ma, Junxian Shen, & Feiyun Xu. (2024). Incremental Learning-Based Quantitative Crack Detection Using Prioritized Experience Replaying and Layered Importance Sampling. IEEE Sensors Journal. 24(15). 25132–25140. 2 indexed citations
4.
Chen, Geng, Zhenqiang Zhang, Junxian Shen, et al.. (2024). Chronic restraint stress induces depression-like behaviors and alterations in the afferent projections of medial prefrontal cortex from multiple brain regions in mice. Brain Research Bulletin. 213. 110981–110981. 6 indexed citations
5.
Ma, Tianchi, Junxian Shen, Di Song, & Feiyun Xu. (2023). Multi-sensor and multi-level information fusion model for compressor blade crack detection. Measurement. 222. 113622–113622. 8 indexed citations
6.
Ma, Tianchi, Junxian Shen, Di Song, & Feiyun Xu. (2023). A vibro-acoustic signals hybrid fusion model for blade crack detection. Mechanical Systems and Signal Processing. 204. 110815–110815. 15 indexed citations
7.
Song, Di, Junxian Shen, Tianchi Ma, & Feiyun Xu. (2023). Multi-objective acoustic sensor placement optimization for crack detection of compressor blade based on reinforcement learning. Mechanical Systems and Signal Processing. 197. 110350–110350. 15 indexed citations
8.
Song, Di, Tianchi Ma, Junxian Shen, & Feiyun Xu. (2023). Multiobjective-Based Acoustic Sensor Configuration for Structural Health Monitoring of Compressor Blade. IEEE Sensors Journal. 23(13). 14737–14745. 4 indexed citations
9.
Shen, Junxian, et al.. (2022). Male antiphonal calls and phonotaxis evoked by female courtship calls in the large odorous frog (Odorrana graminea). Journal of Comparative Physiology A. 209(1). 69–77. 1 indexed citations
10.
11.
Xu, Hui, et al.. (2021). Estradiol attenuates chronic restraint stress-induced dendrite and dendritic spine loss and cofilin1 activation in ovariectomized mice. Hormones and Behavior. 135. 105040–105040. 8 indexed citations
12.
Liu, Weirong, et al.. (2014). Auditory sexual difference in the large odorous frog Odorrana graminea. Journal of Comparative Physiology A. 200(4). 311–316. 15 indexed citations
13.
Yuan, Kexin & Junxian Shen. (2011). Columnar and layer-specific representation of spatial sensitivity in mouse primary auditory cortex. Neuroreport. 22(11). 530–534.
14.
Arch, Victoria S., Dwayne D. Simmons, Albert S. Feng, et al.. (2011). Inner ear morphological correlates of ultrasonic hearing in frogs. Hearing Research. 283(1-2). 70–79. 17 indexed citations
15.
Qiu, Qiang, Jie Tang, Zulin Yu, et al.. (2007). Latency represents sound frequency in mouse IC. Science in China Series C Life Sciences. 50(2). 258–264. 10 indexed citations
16.
Yuan, Kexin & Junxian Shen. (2005). Auditory cortical neurons in the mouse have salient best azimuths. Neuroreport. 16(18). 2007–2010. 3 indexed citations
17.
Rheinlaender, Jürgen, Junxian Shen, & Heiner Römer. (2005). Auditory lateralization in bushcrickets: a new dichotic paradigm. Journal of Comparative Physiology A. 192(4). 389–397. 10 indexed citations
18.
Shen, Junxian, et al.. (2000). Speech Evaluation of Partially Implantable Piezoelectric Middle Ear Implants in Vivo. Ear and Hearing. 21(4). 275–279. 2 indexed citations
19.
Jen, Philip H.-S., Xinde Sun, Junxian Shen, Qi-Cai Chen, & Ying Qian. (1997). Cytoarchitecture and Sound Activated Responses in the Auditory Cortex of the Big Brown Bat,Eptesicus fuscus. Acta Oto-Laryngologica. 117(sup532). 61–67. 13 indexed citations
20.
Shen, Junxian. (1991). THE EFFECTS OF ACOUSTIC TRACHEA SYSTEM ON DIRECTIONAL HEARING IN BUSHCRICKET Gampsocleis gratiosa. 科学通报(英文版). 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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