Meishan Zhang

110 papers receiving 2.4k citations

Hit Papers

Unified Named Entity Recognition as Word-Word Relation Cl...2022202620232024202250100150

Peers

Meishan Zhang
Comparison fields: 5 of 143
  • Artificial Intelligence 2.0k
  • Molecular Biology 408
  • Computer Vision and Pattern Recognition 253
  • Information Systems 222
  • Management Science and Operations Research 125
Replace Partha Talukdar with:
Partha Talukdar United States
Songlin Hu China
Guodong Zhou China
Hoa Trang Dang United States
James R. Foulds United States
Xia Sun China
Michael Elhadad Israel
Jorge Eduardo Pérez Pérez Chile
Bonnie J. Dorr United States
Meishan Zhang relative to Partha Talukdar United States Partha Talukdar's profile →
Citations per field
00.5×1.5×1.8×
Partha Talukdar · 1×
Citations per year

Countries citing papers authored by Meishan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Meishan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meishan Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Meishan Zhang. A scholar is included among the top collaborators of Meishan Zhang 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 Meishan Zhang. Meishan Zhang 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
#WorkIndexed citations
1 0
2 1
3 3
4 0
5 1
6 3
7 14
8 5
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10 64
11 8
12 55
13 16
14 5
15
Joint models for extracting adverse drug events from biomedical text
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16
Tweet Sarcasm Detection Using Deep Neural Network
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17
LibN3L:A Lightweight Package for Neural NLP
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18 133
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A Comparison Study of Sequence Labeling Methods for Chinese Word Segmentation,POS Tagging Models
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Stacking Heterogeneous Joint Models of Chinese POS Tagging and Dependency Parsing
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About Meishan Zhang

Meishan Zhang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 116 papers that have together received 2.5k indexed citations. Recurring topics across this work include Topic Modeling (81 papers), Natural Language Processing Techniques (66 papers) and Multimodal Machine Learning Applications (17 papers). The work is most often cited by research in Artificial Intelligence (2.0k citations), Computer Vision and Pattern Recognition (253 citations) and Management Science and Operations Research (125 citations). Meishan Zhang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Yue Zhang, Guohong Fu, Fei Li, Donghong Ji, Hao Fei, Yue Zhang, Yafeng Ren, Donghong Ji, Wanxiang Che and Min Zhang. Their work appears in journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Molecular Sciences.

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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