Changjian Hu

523 total citations
37 papers, 312 citations indexed

About

Changjian Hu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Changjian Hu has authored 37 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 8 papers in Electrical and Electronic Engineering and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Changjian Hu's work include Topic Modeling (21 papers), Natural Language Processing Techniques (17 papers) and Sentiment Analysis and Opinion Mining (6 papers). Changjian Hu is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (17 papers) and Sentiment Analysis and Opinion Mining (6 papers). Changjian Hu collaborates with scholars based in China, United States and Hong Kong. Changjian Hu's co-authors include Deyi Xiong, Weishi Zhang, Mengqi Wang, Bonnie Webber, Yang Zhang, Xiaohong Hao, Yongcai Wang, Zhiqiang Zhan, Chenye Wu and Lu Yu and has published in prestigious journals such as IEEE Access, Neurocomputing and ACM Transactions on Embedded Computing Systems.

In The Last Decade

Changjian Hu

33 papers receiving 302 citations

Peers

Changjian Hu
Comparison fields: 5 of 43
  • Artificial Intelligence 213
  • Electrical and Electronic Engineering 74
  • Automotive Engineering 36
  • Information Systems 34
  • Computer Vision and Pattern Recognition 34
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Citations per field, relative to Changjian Hu
Changjian Hu · 1×
Citations per year, relative to Changjian Hu
Changjian Hu · 1×

Countries citing papers authored by Changjian Hu

Since Specialization
Citations

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

Fields of papers citing papers by Changjian Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changjian Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Changjian Hu. A scholar is included among the top collaborators of Changjian Hu 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 Changjian Hu. Changjian Hu 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 2
2 8
3 4
4 0
5 3
6 11
7 17
8 7
9 2
10 2
11
Adaptive Learning of Local Semantic and Global Structure Representations for Text Classification
15
12 1
13
EIM: Efficient online interference measurement in wireless sensor networks
2
14 5
15 10
16 0
17
Expanding Chinese Sentiment Dictionaries from Large Scale Unlabeled Corpus
8
18
SESS: A Self-Supervised and Syntax-Based Method for Sentiment Classification
2
19
Discovery of Dependency Tree Patterns for Relation Extraction
4
20
A Hybrid Model for Sense Guessing of Chinese Unknown Words
0

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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