Sheng Li

4.3k total citations · 1 hit paper
246 papers, 2.5k citations indexed

About

Sheng Li is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Sheng Li has authored 246 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 183 papers in Artificial Intelligence, 74 papers in Signal Processing and 28 papers in Information Systems. Recurrent topics in Sheng Li's work include Natural Language Processing Techniques (95 papers), Speech Recognition and Synthesis (78 papers) and Topic Modeling (76 papers). Sheng Li is often cited by papers focused on Natural Language Processing Techniques (95 papers), Speech Recognition and Synthesis (78 papers) and Topic Modeling (76 papers). Sheng Li collaborates with scholars based in China, Japan and United States. Sheng Li's co-authors include Shiqi Zhao, Chew Lim Tan, Ting Liu, Jing Su, Rui Guo, Zhihao Liu, Lan Li, Guanwei Fan, Xugang Lu and Wanxiang Che and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Sheng Li

224 papers receiving 2.4k citations

Hit Papers

<p>Pharmacological Activity and Mechanism of Tanshinone I... 2020 2026 2022 2024 2020 50 100 150 200

Peers

Sheng Li
Comparison fields: 5 of 177
  • Artificial Intelligence 1.5k
  • Signal Processing 434
  • Computer Vision and Pattern Recognition 231
  • Information Systems 230
  • Molecular Biology 196
Replace Nevin L. Zhang with:
Nevin L. Zhang Hong Kong
Pierangelo Veltri Italy
P. A. Estévez Chile
Irina Rish United States
Joost N. Kok Netherlands
Chiranjib Bhattacharyya India
Tianyi Zhou United States
Si Wu China
David B. Rosen United States
Nevin L. Zhang Hong Kong View profile →
Citations per field, relative to Sheng Li
Sheng Li · 1×
Citations per year, relative to Sheng Li
Sheng Li · 1×

Countries citing papers authored by Sheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Li. A scholar is included among the top collaborators of Sheng Li 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 Sheng Li. Sheng Li 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
# Work Indexed citations
1 0
2 4
3 0
4 0
5 4
6 79
7 0
8 11
9 99
10
Discriminative Data Selection from Multiple ASR Systems' Hypotheses for Unsupervised Acoustic Model Training (音声) -- (第17回音声言語シンポジウム)
1
11
Fusion of word and letter based metrics for automatic MT evaluation
3
12
Reordering with Source Language Collocations
3
13
Topic Detection and Tracking for News Web Pages
1
14 15
15
Search Result Clustering Based on Centroid Optimization by Ontology Extraction
3
16
A Novel Heuristic Error-Driven Learning for Recognizing Chinese Time Expression.
1
17
Semantic Role Labeling System Using Maximum Entropy Classifier
17
18
A New Chinese Natural Language Understanding Architecture Based on Multilayer Search Mechanism
1
19
Combining Neural Networks and Statistics for Chinese Word Sense Disambiguation
8
20
Chinese Sentence Similarity Computing Based on Semantic Dependency Relationship Analysis
14

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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