Peter Deng

25 papers receiving 355 citations

Peers

Peter Deng
Comparison fields: 5 of 58
  • Management Information Systems 100
  • Computer Vision and Pattern Recognition 132
  • Signal Processing 56
  • Artificial Intelligence 145
  • Media Technology 35
Replace Sebastian Käbisch with:
Sebastian Käbisch Germany
Paweł Szmeja Poland
Sixto Ortiz United States
Erik van der Sluis Netherlands
Peter Niblett United States
Noura Faci France
Hamad Alsawalqah Jordan
Don Libes United States
Stuart Clayman United Kingdom
Armin Stahl Germany
Peter Deng relative to Sebastian Käbisch Germany Sebastian Käbisch's profile →
Citations per field
00.5×3.1×
Sebastian Käbisch · 1×
Citations per year

Countries citing papers authored by Peter Deng

Since Specialization
Citations

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

Fields of papers citing papers by Peter Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Peter Deng, 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 Peter Deng Line = papers co-authored together Peter Deng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200692
2 199988
3
TREC 2005 Robust Track Experiments Using PIRCS.
200544
4 201130
5 200417
6
TREC2003 Robust, Hard and QA Track Experiments Using PIRCS
200315
7
TREC2002 Web, Novelty and Filtering Track Experiments using PIRCS
200215
8 200415
9 20059
10 20059
11 20148
12 20067
13 20046
14 20105
15 20135
16 20075
17 20064
18
NTCIR-6 Monolingual Chinese and English-Chinese Cross-Lingual Question Answering Experiments using PIRCS
20074
19 20144
20
NTCIR-5 English-Chinese Cross Language Question-Answering Experiments using PIRCS
20053

About Peter Deng

Peter Deng is a scholar working on Artificial Intelligence, Information Systems, Management Information Systems, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 26 papers that have together received 394 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (6 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (4 papers), Optimization and Mathematical Programming (3 papers), Advanced Text Analysis Techniques (3 papers), Image Processing and 3D Reconstruction (3 papers), Advanced Queuing Theory Analysis (2 papers) and Vehicle License Plate Recognition (2 papers). The work is most often cited by research in Management Information Systems (100 citations), Computer Vision and Pattern Recognition (132 citations), Signal Processing (56 citations), Artificial Intelligence (145 citations) and Media Technology (35 citations). Peter Deng has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Peter Chu, Hong-Yuan Mark Liao, Hsiao-Rong Tyan, Yuan-Kai Wang, Michael Chan, Yu‐Ching Liu, Shi-Lung Lin, Jia Deng, Shao‐Yao Ying and Tang K. Tang. Their work appears in journals such as European Journal of Operational Research, Applied Mathematics and Computation, Information Processing & Management, Applied Mathematical Modelling and Computer Vision and Image Understanding.

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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