Ge Wang

408 citations
16 papers · 283 indexed · h-index 10

Impact in

Papers in

Ge Wang

15 papers receiving 242 citations

Peers

Ge Wang
Comparison fields: 5 of 60
  • Human-Computer Interaction 56
  • Signal Processing 87
  • Computer Vision and Pattern Recognition 142
  • Cognitive Neuroscience 63
  • Computer Networks and Communications 69
Replace Daniel Schneider with:
Daniel Schneider Germany
Babak Naderi Germany
Urmila Shrawankar India
Toshiyuki Masui Japan
Jiahui Hou China
Jeffrey Usher United States
Jim Kleban United States
Chao Peng United States
Christopher F. Herot United States
Rainhard Dieter Findling Austria
Ge Wang relative to Daniel Schneider Germany Daniel Schneider's profile →
Citations per field
00.5×3.5×
Daniel Schneider · 1×
Citations per year

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

The 16 scholars most cited alongside Ge Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ge Wang Line = papers co-authored together Ge Wang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 202137
2 202010
3 202035
4 202015
5 20189
6 20143
7
CHUGENS, CHUBGRAPHS, CHUGINS: 3 TIERS FOR EXTENDING CHUCK
20122
8 201118
9
DO MOBILE PHONES DREAM OF ELECTRIC ORCHESTRAS
200939
10 200810
11 20068
12
ChucK: A Concurrent, On-the-fly, Audio Programming Language
200373
13
The Application of Callback Function in Software Design
20030
14 19997
15
A NEW SPECIES OF ENDASYS FOERSTER(HYMENOPTERA:ICHNEUMONIDAE)PARASITIZING PACHYNEMATUS ITOI OKUTANI(HYMENOPTERA: TENTHREDINIDAE)
19964
16 199613

About Ge Wang

Ge Wang is a scholar working on Signal Processing, Human-Computer Interaction, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Ecological Modeling, having authored 16 papers that have together received 283 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (7 papers), Music and Audio Processing (5 papers), IoT and Edge/Fog Computing (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Blockchain Technology Applications and Security (3 papers), Wildlife Ecology and Conservation (2 papers), Privacy-Preserving Technologies in Data (2 papers) and Interactive and Immersive Displays (2 papers). The work is most often cited by research in Human-Computer Interaction (56 citations), Signal Processing (87 citations), Computer Vision and Pattern Recognition (142 citations), Cognitive Neuroscience (63 citations) and Computer Networks and Communications (69 citations). Ge Wang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Perry R. Cook, Fangmin Xu, Chenglin Zhao, Georg Essl, Hengsheng Zhang, John K. Thomas, Robert Hamilton, J. A. Smith, Ananya Misra and Frank M. Howell. Their work appears in journals such as Leonardo Music Journal, IEEE Access, Rural Sociology, Future Generation Computer Systems and IET Communications.

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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