Qingyang Hong

763 total citations
73 papers, 458 citations indexed

About

Qingyang Hong is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Qingyang Hong has authored 73 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Artificial Intelligence, 48 papers in Signal Processing and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Qingyang Hong's work include Speech Recognition and Synthesis (60 papers), Speech and Audio Processing (38 papers) and Music and Audio Processing (34 papers). Qingyang Hong is often cited by papers focused on Speech Recognition and Synthesis (60 papers), Speech and Audio Processing (38 papers) and Music and Audio Processing (34 papers). Qingyang Hong collaborates with scholars based in China, Hong Kong and United States. Qingyang Hong's co-authors include Lin Li, Sam Kwong, Zheng Li, Tao Jiang, Lin Li, Jianfeng Zhou, Miao Zhao, Zheng Li, Jianfeng Zhou and Rongjin Li and has published in prestigious journals such as IEEE Access, Neural Networks and IEEE Internet of Things Journal.

In The Last Decade

Qingyang Hong

62 papers receiving 441 citations

Peers

Qingyang Hong
Comparison fields: 5 of 69
  • Artificial Intelligence 320
  • Signal Processing 271
  • Molecular Biology 50
  • Computer Vision and Pattern Recognition 34
  • Pulmonary and Respiratory Medicine 18
Replace A. Revathi with:
A. Revathi India
Bagher BabaAli Iran
Jaesung Huh South Korea
Yufeng Zheng United States
Beat Pfister Switzerland
Diego Rafael Lucio Brazil
Ambuj Mehrish India
Mete Yağanoğlu Türkiye
T. A. Hughes United States
A. Revathi India View profile →
Citations per field, relative to Qingyang Hong
Qingyang Hong · 1×
Citations per year, relative to Qingyang Hong
Qingyang Hong · 1×

Countries citing papers authored by Qingyang Hong

Since Specialization
Citations

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

Fields of papers citing papers by Qingyang Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingyang Hong

This figure shows the co-authorship network connecting the top 25 collaborators of Qingyang Hong. A scholar is included among the top collaborators of Qingyang Hong 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 Qingyang Hong. Qingyang Hong 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 0
3 0
4 4
5 0
6 0
7 1
8 3
9 9
10 1
11 3
12 13
13 32
14 4
15 6
16 5
17 1
18 1
19 11
20 4

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