Dazhi Jiang

1.9k citations
88 papers · 1.4k indexed · h-index 22
Topics
Emotion and Mood Recognition (19 papers)Sentiment Analysis and Opinion Mining (17 papers)Metaheuristic Optimization Algorithms Research (15 papers)
Partner nations
ChinaHong KongSingapore

In The Last Decade

Dazhi Jiang

86 papers receiving 1.4k citations

Peers

Dazhi Jiang
Comparison fields: 5 of 115
  • Artificial Intelligence 621
  • Experimental and Cognitive Psychology 317
  • Building and Construction 300
  • Control and Systems Engineering 252
  • Transportation 206
Replace Soraia Raupp Musse with:
Soraia Raupp Musse Brazil
Sabato Marco Siniscalchi Italy
Leonardo Trujillo Mexico
Matthew Hausknecht United States
Guangtao Xue China
Gencai Chen China
Jiehan Zhou Finland
Pengfei Zhou China
Ahamad Tajudin Khader Malaysia
Zongqing Lu China
Dazhi Jiang relative to Soraia Raupp Musse Brazil Soraia Raupp Musse's profile →
Citations per field
00.5×7.9×
Soraia Raupp Musse · 1×
Citations per year

Countries citing papers authored by Dazhi Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Dazhi Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dazhi Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Dazhi Jiang. A scholar is included among the top collaborators of Dazhi Jiang 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 Dazhi Jiang. Dazhi Jiang 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 0
2 4
3 1
4 6
5 4
6 1
7 1
8 31
9 10
10 22
11 7
12 47
13 16
14 29
15 8
16 64
17
Establish and Optimize the Enterprise Downsizing Model
1
18
Active Project-Driven Learning Method based on CDIO Engineering Education Model——take “Java Programming” Course for example
3
19
A study on error analysis of radar measurement data in proving ranges
4
20
Research on Transit Trip Time Chain Based on GIS Technology
1

About Dazhi Jiang

Dazhi Jiang is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Signal Processing, having authored 88 papers that have together received 1.4k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (19 papers), Sentiment Analysis and Opinion Mining (17 papers) and Metaheuristic Optimization Algorithms Research (15 papers). The work is most often cited by research in Transportation (206 citations), Experimental and Cognitive Psychology (317 citations) and Building and Construction (300 citations). Dazhi Jiang has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Teng Zhou, Cheng Liu, Geng Tu, Lin Zheng, Dongmin Huang, Youyi Song, Jing Qin, Zhijian Wu, Hui Wang and Sentao Chen. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Biomedical Engineering.

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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