Xiang Deng

847 total citations
26 papers, 249 citations indexed

About

Xiang Deng is a scholar working on Artificial Intelligence, Building and Construction and Civil and Structural Engineering. According to data from OpenAlex, Xiang Deng has authored 26 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Building and Construction and 4 papers in Civil and Structural Engineering. Recurrent topics in Xiang Deng's work include Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers) and Innovative concrete reinforcement materials (3 papers). Xiang Deng is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers) and Innovative concrete reinforcement materials (3 papers). Xiang Deng collaborates with scholars based in China, United States and Hong Kong. Xiang Deng's co-authors include Boshi Wang, Huan Sun, Sewon Min, Luke Zettlemoyer, Jiaming Shen, Yu Su, 裕二 池谷, Zhongfei Zhang, Jun Liu and Xiaoming Luo and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Food Chemistry.

In The Last Decade

Xiang Deng

21 papers receiving 240 citations

Peers

Xiang Deng
Comparison fields: 5 of 84
  • Artificial Intelligence 100
  • Civil and Structural Engineering 28
  • Building and Construction 24
  • Computer Vision and Pattern Recognition 21
  • Food Science 21
Replace Jingwei Sun with:
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Milan Marković Serbia
Francesca Trenta Italy
Zhenwu Wang China
Nikhil Garg India
M. Shyamala Devi India
Nasir Khan Pakistan
Tehreem Ashfaq Pakistan
Fransiskus Tatas Dwi Atmaji Indonesia
Shanmugam Sundaramurthy India
Jingwei Sun China View profile →
Citations per field, relative to Xiang Deng
Xiang Deng · 1×
Citations per year, relative to Xiang Deng
Xiang Deng · 1×

Countries citing papers authored by Xiang Deng

Since Specialization
Citations

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

Fields of papers citing papers by Xiang Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiang Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Xiang Deng. A scholar is included among the top collaborators of Xiang Deng 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 Xiang Deng. Xiang Deng 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 1
4 0
5 13
6 8
7 49
8 2
9 17
10 30
11 5
12 12
13 4
14 39
15 2
16 0
17
Comprehensive Knowledge Distillation with Causal Intervention
10
18 15
19 1
20 5

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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