Yao Meng

571 citations
51 papers · 359 · h-index 12

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Sentiment Analysis and Opinion Mining
    • Text and Document Classification Technologies
    • Remote-Sensing Image Classification

Papers in

    • Natural Language Processing Techniques 19
    • Topic Modeling 18
    • Advanced Text Analysis Techniques 9
    • Sentiment Analysis and Opinion Mining 7
    • Semantic Web and Ontologies 5
    • Web Data Mining and Analysis 10

Yao Meng

48 papers receiving 334 citations

Peers

Yao Meng
Comparison fields: 5 of 72
  • Artificial Intelligence 222
  • Media Technology 43
  • Computer Vision and Pattern Recognition 72
  • Information Systems 59
  • Management, Monitoring, Policy and Law 17
Replace Anindya Halder with:
Anindya Halder India
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Yao Meng relative to Anindya Halder India Anindya Halder's profile →
Citations per field
00.5×4.2×
Anindya Halder · 1×
Citations per year

Countries citing papers authored by Yao Meng

Since Specialization
Citations

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

Fields of papers citing papers by Yao Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201948
2 202018
3 202118
4
A Distribution-based Model to Learn Bilingual Word Embeddings
201617
5 202117
6 201517
7 201016
8 201914
9 200913
10
Maximum Entropy Based Phrase Reordering for Hierarchical Phrase-Based Translation
201012
11 201312
12 202011
13 201510
14 201510
15 20199
16
Fault-Tolerant Learning for Term Extraction
20108
17
Extending the Hierarchical Phrase Based Model with Maximum Entropy Based BTG
20107
18 20157
19 20207
20 20096

About Yao Meng

Yao Meng is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics and Management Science and Operations Research, having authored 51 papers that have together received 359 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Topic Modeling (18 papers), Web Data Mining and Analysis (10 papers), Advanced Text Analysis Techniques (9 papers), Sentiment Analysis and Opinion Mining (7 papers), Multimodal Machine Learning Applications (5 papers), Semantic Web and Ontologies (5 papers) and Advanced Image and Video Retrieval Techniques (5 papers). The work is most often cited by research in Artificial Intelligence (222 citations), Media Technology (43 citations), Computer Vision and Pattern Recognition (72 citations), Information Systems (59 citations) and Management, Monitoring, Policy and Law (17 citations). Yao Meng has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Hao Yu, Shuangyong Song, Zhongjun He, Wei Cui, Qingliang Miao, Yingju Xia, Ziwei Wang, Xin He, Dongyou Zhang and Jiejun Huang. Their work appears in journals such as ISPRS International Journal of Geo-Information, Remote Sensing, Pattern Recognition Letters, Neurocomputing and Frontiers of Computer Science.

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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