Ge Wang

572 total citations
16 papers, 415 citations indexed

About

Ge Wang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Ge Wang has authored 16 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 7 papers in Cognitive Neuroscience. Recurrent topics in Ge Wang's work include Music Technology and Sound Studies (13 papers), Music and Audio Processing (8 papers) and Interactive and Immersive Displays (5 papers). Ge Wang is often cited by papers focused on Music Technology and Sound Studies (13 papers), Music and Audio Processing (8 papers) and Interactive and Immersive Displays (5 papers). Ge Wang collaborates with scholars based in United States, China and Chile. Ge Wang's co-authors include Perry R. Cook, Bin Yang, Yong‐Min Liang, Li‐Na Guo, Shang‐Dong Yang, Jie Hu, Ning Zhao, Dan Trueman, Nicholas J. Bryan and Ajay Kapur and has published in prestigious journals such as Chemistry - A European Journal, Journal of Polymer Science Part B Polymer Physics and Applied Sciences.

In The Last Decade

Ge Wang

15 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ge Wang United States 9 200 170 88 80 75 16 415
Xiaoxing Liu China 7 26 0.1× 97 0.6× 19 0.2× 36 0.5× 175 2.3× 11 425
Hyunsung Cho South Korea 10 64 0.3× 32 0.2× 49 0.6× 15 0.2× 12 0.2× 40 329
Tom A. Garner United Kingdom 8 24 0.1× 29 0.2× 41 0.5× 42 0.5× 9 0.1× 21 224
Minseok Song South Korea 10 10 0.1× 118 0.7× 11 0.1× 15 0.2× 48 0.6× 66 284
Kun Jin United States 7 80 0.4× 26 0.2× 5 0.1× 16 0.2× 16 0.2× 15 211
Pengfei Gao China 9 7 0.0× 20 0.1× 12 0.1× 67 0.8× 16 0.2× 31 243
Morgan J. Gainer United States 8 139 0.7× 13 0.1× 19 0.2× 8 0.1× 10 329
Vijay M. Wadhai India 9 73 0.4× 31 0.2× 1 0.0× 51 0.6× 15 0.2× 54 319

Countries citing papers authored by Ge Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ge Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ge Wang

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

All Works

16 of 16 papers shown
1.
Wang, Ge, et al.. (2020). Doing vs. Being: A philosophy of design for artful VR. Journal of New Music Research. 49(1). 35–59. 20 indexed citations
2.
Wang, Ge, et al.. (2018). Chunity: Integrated Audiovisual Programming In Unity. Zenodo (CERN European Organization for Nuclear Research). 102–107. 6 indexed citations
3.
Smith, Julius O., et al.. (2017). Passively Augmenting Mobile Devices Towards Hybrid Musical Instrument Design. Zenodo (CERN European Organization for Nuclear Research). 19–24.
4.
Smith, Julius O., et al.. (2017). Mobile Music, Sensors, Physical Modeling, and Digital Fabrication: Articulating the Augmented Mobile Instrument. Applied Sciences. 7(12). 1311–1311. 5 indexed citations
5.
Wang, Ge. (2016). Some Principles of Visual Design for Computer Music. Leonardo Music Journal. 26. 14–19. 1 indexed citations
6.
Wang, Ge, et al.. (2015). World Stage: Crowdsourcing Paradigm for Expressive Social Mobile Music. Journal of New Music Research. 44(2). 112–128. 1 indexed citations
7.
Wang, Ge, et al.. (2015). ChucK: A Strongly Timed Computer Music Language. Computer Music Journal. 39(4). 10–29. 18 indexed citations
8.
Wang, Ge. (2014). Ocarina: Designing the iPhone's Magic Flute. Computer Music Journal. 38(2). 8–21. 27 indexed citations
9.
Hu, Jie, Ning Zhao, Bin Yang, et al.. (2011). Copper‐Catalyzed C–P Coupling through Decarboxylation. Chemistry - A European Journal. 17(20). 5516–5521. 201 indexed citations
10.
Bryan, Nicholas J., et al.. (2010). MoMu: A Mobile Music Toolkit. New Interfaces for Musical Expression. 174–177. 30 indexed citations
11.
Trueman, Dan, et al.. (2008). Composing for Laptop Orchestra. Computer Music Journal. 32(1). 9–25. 44 indexed citations
12.
Wang, Ge, et al.. (2008). The Laptop Orchestra as Classroom. Computer Music Journal. 32(1). 26–37. 28 indexed citations
13.
Misra, Ananya, Ge Wang, & Perry R. Cook. (2007). Musical Tapestry: Re-composing Natural Sounds. Journal of New Music Research. 36(4). 241–250. 3 indexed citations
14.
Kapur, Ajay, Ge Wang, Philip Davidson, & Perry R. Cook. (2005). Interactive Network Performance: a dream worth dreaming?. Organised Sound. 10(3). 209–219. 20 indexed citations
15.
Yoo, Sun Kook, Ge Wang, Jay T. Rubinstein, Margaret W. Skinner, & Michael W. Vannier. (1999). Cochlear modeling and visualization on the Internet. 2 indexed citations
16.
Qi, Chenze, Yanjie Wu, Huamei Li, et al.. (1999). A study on free-volume properties of styrene-acrylic ester type copolymers. Journal of Polymer Science Part B Polymer Physics. 37(17). 2476–2485. 9 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026