Puming Zhan

541 citations
19 papers · 246 indexed · h-index 8
Topics
Speech Recognition and Synthesis (16 papers)Speech and Audio Processing (15 papers)Music and Audio Processing (9 papers)
Journals
Repository KITopen (Karlsruhe Institute of Technology)Interspeech 20224th International Conference on Spoken Language Processing (ICSLP 1996)

In The Last Decade

Puming Zhan

18 papers receiving 202 citations

Peers

Puming Zhan
Comparison fields: 5 of 32
  • Artificial Intelligence 223
  • Signal Processing 148
  • Computer Vision and Pattern Recognition 31
  • Experimental and Cognitive Psychology 15
  • Physiology 4
Replace Xu Xiang with:
Xu Xiang China
Steve Lowe United States
Donglai Zhu Singapore
Shivesh Ranjan United States
Félix de Chaumont Quitry United States
Yosuke Higuchi Japan
Adrian Łańcucki Poland
Daisy Stanton United States
Patrick von Platen Germany
Alexander Gutkin United States
Puming Zhan relative to Xu Xiang China Xu Xiang's profile →
Citations per field
00.5×1.6×
Xu Xiang · 1×
Citations per year

Countries citing papers authored by Puming Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Puming Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puming Zhan

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 5
3 3
4 3
5 1
6 15
7 1
8 25
9 19
10 2
11 2
12 1
13 61
14 46
15 14
16 30
17 10
18 4
19 3

About Puming Zhan

Puming Zhan is a scholar working on Signal Processing, Artificial Intelligence and Human-Computer Interaction, having authored 19 papers that have together received 246 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (15 papers) and Music and Audio Processing (9 papers). The work is most often cited by research in Signal Processing (148 citations), Artificial Intelligence (223 citations) and Computer Vision and Pattern Recognition (31 citations). Puming Zhan has collaborated with scholars based in United States, Austria and Germany. Frequent co-authors include Martin Westphal, Felix Weninger, Steven Wegmann, Larry Gillick, Alex Waibel, Michael Finke, Donna Gates, Marsal Gavaldà, Lori Levin and Arnon Lavie. Their work appears in journals such as Repository KITopen (Karlsruhe Institute of Technology), Interspeech 2022 and 4th International Conference on Spoken Language Processing (ICSLP 1996).

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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