Tao Meng

1.8k citations
73 papers · 1.0k indexed · h-index 16
Topics
Topic Modeling (17 papers)Scheduling and Optimization Algorithms (14 papers)Sentiment Analysis and Opinion Mining (13 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access

In The Last Decade

Tao Meng

63 papers receiving 985 citations

Peers

Tao Meng
Comparison fields: 5 of 93
  • Industrial and Manufacturing Engineering 494
  • Artificial Intelligence 364
  • Computer Networks and Communications 110
  • Computer Vision and Pattern Recognition 102
  • Control and Systems Engineering 85
Replace Lukas Esterle with:
Lukas Esterle Denmark
Sujit Rokka Chhetri United States
Hyo-Won Suh South Korea
Chuan-Kang Ting Taiwan
Seunghyun Lee South Korea
Brian J. Ross Canada
Myeonghwi Kim South Korea
Hadi S. Aghdasi Iran
Martijn van Otterlo Netherlands
Kuan-Cheng Lin Taiwan
Tao Meng relative to Lukas Esterle Denmark Lukas Esterle's profile →
Citations per field
00.5×6.6×
Lukas Esterle · 1×
Citations per year

Countries citing papers authored by Tao Meng

Since Specialization
Citations

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

Fields of papers citing papers by Tao Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Meng. A scholar is included among the top collaborators of Tao Meng 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 Tao Meng. Tao Meng 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 3
2 0
3 6
4 5
5 3
6 1
7 8
8 17
9 17
10 6
11 1
12 4
13 0
14 0
15 1
16 15
17 6
18 0
19 56
20
Study on Setting Experimental Teaching Independently in Civil Engineering Materials Course
0

About Tao Meng

Tao Meng is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 73 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (17 papers), Scheduling and Optimization Algorithms (14 papers) and Sentiment Analysis and Opinion Mining (13 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (494 citations), Artificial Intelligence (364 citations) and Experimental and Cognitive Psychology (78 citations). Tao Meng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Quan-Ke Pan, Hongyan Sang, Yuntao Shou, Keqin Li, Ling Wang, Liang Gao, Wei Ai, Junqing Li, Wen-Qiang Zou and Wei Ai. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

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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