Ji Ming

2.6k citations
139 papers · 2.0k · h-index 20

Impact in

    • Speech and Audio Processing
    • Music and Audio Processing
    • Data Management and Algorithms
    • Speech Recognition and Synthesis
    • Advanced Graph Neural Networks

Papers in

Ji Ming

129 papers receiving 1.9k citations

Peers

Ji Ming
Comparison fields: 5 of 133
  • Signal Processing 963
  • Artificial Intelligence 1.1k
  • Computer Vision and Pattern Recognition 505
  • Statistical and Nonlinear Physics 211
  • Transportation 91
Replace Uri Shaft with:
Uri Shaft United States
Levent Ertöz United States
Da Wei Yan United States
Stephen Mingyu Chu United States
Yewang Chen China
Edgar Chávez Mexico
Jilian Zhang China
Jizhong Han China
Pak Chung Wong United States
Mehrdad Farajtabar United States
Ji Ming relative to Uri Shaft United States Uri Shaft's profile →
Citations per field
00.5×2×4×5.7×
Uri Shaft · 1×
Citations per year

Countries citing papers authored by Ji Ming

Since Specialization
Citations

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

Fields of papers citing papers by Ji Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ji Ming, 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 Ji Ming Line = papers co-authored together Ji Ming links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007201
2 2010193
3 2011153
4 2011116
5 201076
6 201176
7 200867
8 201363
9 202251
10
A Variance Minimization Criterion to Active Learning on Graphs
201249
11 200947
12 201643
13 201040
14
Extension of Zipf's Law to Word and Character N-grams for English and Chinese
200328
15 200228
16 200527
17 200826
18
Graph embedding with constraints
200926
19 201122
20 201120

About Ji Ming

Ji Ming is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering and Computer Graphics and Computer-Aided Design, having authored 139 papers that have together received 2.0k indexed citations. Recurring topics across this work include Speech and Audio Processing (54 papers), Speech Recognition and Synthesis (52 papers), Music and Audio Processing (37 papers), Face and Expression Recognition (18 papers), Face recognition and analysis (13 papers), Advanced Data Compression Techniques (10 papers), Natural Language Processing Techniques (10 papers) and Image Retrieval and Classification Techniques (7 papers). The work is most often cited by research in Signal Processing (963 citations), Artificial Intelligence (1.1k citations), Computer Vision and Pattern Recognition (505 citations), Statistical and Nonlinear Physics (211 citations) and Transportation (91 citations). Ji Ming has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Jiawei Han, Marina Danilevsky, Danny Crookes, Francis J. Smith, Timothy J. Hazen, Darryl Stewart, James Glass, Douglas A. Reynolds, Rowan Seymour and Hujun Bao. Their work appears in journals such as Computer Speech & Language, IEEE Transactions on Audio Speech and Language Processing, IEEE Transactions on Speech and Audio Processing, IEEE Transactions on Cybernetics and Neural Processing Letters.

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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