Cong Yin

410 total citations
32 papers, 254 citations indexed

About

Cong Yin is a scholar working on Cognitive Neuroscience, Social Psychology and Biomedical Engineering. According to data from OpenAlex, Cong Yin has authored 32 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cognitive Neuroscience, 5 papers in Social Psychology and 5 papers in Biomedical Engineering. Recurrent topics in Cong Yin's work include Motor Control and Adaptation (9 papers), Action Observation and Synchronization (5 papers) and Muscle activation and electromyography studies (4 papers). Cong Yin is often cited by papers focused on Motor Control and Adaptation (9 papers), Action Observation and Synchronization (5 papers) and Muscle activation and electromyography studies (4 papers). Cong Yin collaborates with scholars based in China, United States and Canada. Cong Yin's co-authors include Kunlin Wei, Zhongguo Liu, Zhi Chai, Yang Wang, Boqiang Liu, Bo Zhang, Kai Cao, Cong Yu, Konrad P. Körding and Xuezhi Tan and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Cong Yin

30 papers receiving 242 citations

Peers

Cong Yin
Comparison fields: 5 of 70
  • Cognitive Neuroscience 94
  • Biomedical Engineering 44
  • Social Psychology 43
  • Geophysics 40
  • Artificial Intelligence 38
Takaaki Goto Japan
Małgorzata Plechawska–Wójcik Poland
Miguel Rodríguez‐Artacho Spain
Jennifer Cross United States
Manuela Züger Switzerland
Michael Johnson United States
Sabrina Caldwell Australia
Juan Miguel López Spain
Kory W. Mathewson Canada
Takaaki Goto Japan View profile →
Citations per field, relative to Cong Yin
Cong Yin · 1×
Citations per year, relative to Cong Yin
Cong Yin · 1×

Countries citing papers authored by Cong Yin

Since Specialization
Citations

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

Fields of papers citing papers by Cong Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Yin. A scholar is included among the top collaborators of Cong Yin 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 Cong Yin. Cong Yin 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
# Work Indexed citations
1 0
2 2
3 2
4 0
5 1
6 5
7
TF-IDF Based Contextual Post-Filtering Recommendation Algorithm in Complex Interactive Situations of Online to Offline: An Empirical Study
1
8 3
9 4
10 2
11 1
12 19
13 3
14 7
15 16
16 3
17
A K-phoneme-class based multi-model method for short utterance speaker recognition
8
18 3
19 14
20 5

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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