Haihua Chen

1.8k citations
103 papers · 1.0k indexed · 2 hit papers · h-index 16
Topics
Topic Modeling (19 papers)Advanced Text Analysis Techniques (12 papers)Data Quality and Management (10 papers)

In The Last Decade

Haihua Chen

90 papers receiving 1.0k citations

Hit Papers

A comparative study of automated legal text classificatio...2021202620222024202120234080120

Peers

Haihua Chen
Comparison fields: 5 of 169
  • Artificial Intelligence 302
  • Molecular Biology 123
  • Information Systems 107
  • Computer Networks and Communications 93
  • Electrical and Electronic Engineering 88
Replace Han Liu with:
Han Liu China
Ximeng Wang China
Matloob Khushi Australia
Yongjun Zhu South Korea
Yu Tian China
Yiqing Zhao China
Jure Žbontar United States
Fredrik Johansson Sweden
Xiaoliang Chen China
Ye Ye China
Haihua Chen relative to Han Liu China Han Liu's profile →
Citations per field
00.5×1.5×
Han Liu · 1×
Citations per year

Countries citing papers authored by Haihua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Haihua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihua Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Haihua Chen. A scholar is included among the top collaborators of Haihua Chen 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 Haihua Chen. Haihua Chen 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 2
2 0
3 8
4 1
5 2
6 5
7 3
8 6
9 2
10 16
11 0
12 3
13 3
14 1
15 1
16 3
17 86
18
Research on Automatic Recognition of Academic Citation Context
1
19
Determination of the Content of Heavy Metal Elements Pb,Cr and Cu in Soil from Abandoned Rare Earth Mine in Dingnan County
1
20 1

About Haihua Chen

Haihua Chen is a scholar working on Artificial Intelligence, Research and Theory and General Social Sciences, having authored 103 papers that have together received 1.0k indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Advanced Text Analysis Techniques (12 papers) and Data Quality and Management (10 papers). The work is most often cited by research in Research and Theory (40 citations), Health Informatics (25 citations) and Artificial Intelligence (302 citations). Haihua Chen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiangping Chen, Junhua Ding, Wei Lu, Junhua Ding, Lei Wu, Xianlong Zhou, Jiong Yang, Yulu Shi, Jing Chen and Shahram Shahbazpanahi. Their work appears in journals such as Journal of Applied Physics, The Science of The Total Environment and Scientific Reports.

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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