Jiang Guo

2.1k total citations
39 papers, 1.1k citations indexed

About

Jiang Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jiang Guo has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Jiang Guo's work include Topic Modeling (20 papers), Natural Language Processing Techniques (17 papers) and Machine Learning in Materials Science (4 papers). Jiang Guo is often cited by papers focused on Topic Modeling (20 papers), Natural Language Processing Techniques (17 papers) and Machine Learning in Materials Science (4 papers). Jiang Guo collaborates with scholars based in China, United States and Hong Kong. Jiang Guo's co-authors include Wanxiang Che, Haifeng Wang, Ting Liu, Regina Barzilay, Ting Liu, Bing Qin, Darsh Shah, David Yarowsky, Ting Liu and Ruiji Fu and has published in prestigious journals such as Nature Communications, Expert Systems with Applications and Chemical Science.

In The Last Decade

Jiang Guo

36 papers receiving 1.0k citations

Peers

Jiang Guo
Comparison fields: 5 of 105
  • Artificial Intelligence 762
  • Computer Vision and Pattern Recognition 165
  • Molecular Biology 164
  • Materials Chemistry 122
  • Computational Theory and Mathematics 76
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Citations per field, relative to Jiang Guo
Jiang Guo · 1×
Citations per year, relative to Jiang Guo
Jiang Guo · 1×

Countries citing papers authored by Jiang Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiang Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jiang Guo. A scholar is included among the top collaborators of Jiang Guo 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 Jiang Guo. Jiang Guo 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 15
3 31
4 64
5 1
6 4
7 1
8 45
9 2
10 92
11 95
12 8
13
A Unified Architecture for Semantic Role Labeling and Relation Classification
8
14
Chinese Grammatical Error Diagnosis with Long Short-Term Memory Networks
28
15
A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks
14
16 11
17 97
18
Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources
43
19
Synchronization for a Class of Chaotic Systems through Unidirectionally Coupling and Its Conditions
1
20
Synchronization of hyperchaos of cellular neural network with applications to secure communication
2

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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