Xian Li

35 papers receiving 371 citations

Peers

Xian Li
Comparison fields: 5 of 92
  • Sociology and Political Science 88
  • Artificial Intelligence 75
  • Cognitive Neuroscience 55
  • Education 54
  • Pathology and Forensic Medicine 51
Replace Neil McK. Agnew with:
Neil McK. Agnew Canada
Leo J. Th. van der Kamp Netherlands
Christopher N. Chapman United States
Nic James United Kingdom
Gary Dennis United Kingdom
Eric Shaw United States
Chiara Renzi Italy
Maurizio Mauri Italy
Guangming Li China
Ardis Hanson United States
Xian Li relative to Neil McK. Agnew Canada Neil McK. Agnew's profile →
Citations per field
00.5×5.8×
Neil McK. Agnew · 1×
Citations per year

Countries citing papers authored by Xian Li

Since Specialization
Citations

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

Fields of papers citing papers by Xian Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xian Li

This figure shows the co-authorship network connecting the top 25 collaborators of Xian Li. A scholar is included among the top collaborators of Xian Li 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 Xian Li. Xian Li 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 1
3 7
4 1
5 3
6 3
7 6
8 0
9 4
10 2
11
Deep Transformers with Latent Depth
3
12
Cross-lingual Retrieval for Iterative Self-Supervised Training
16
13 1
14 3
15 63
16
CVTE at IJCNLP-2017 Task 1: Character Checking System for Chinese Grammatical Error Diagnosis Task
1
17
Deep Voice: Real-time Neural Text-to-Speech
39
18 7
19 7
20
Can verb classifiers be borrowed from nouns
0

About Xian Li

Xian Li is a scholar working on Environmental Chemistry, Cognitive Neuroscience and Mechanics of Materials, having authored 41 papers that have together received 389 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Topic Modeling (5 papers) and Hydrocarbon exploration and reservoir analysis (5 papers). The work is most often cited by research in Organizational Behavior and Human Resource Management (51 citations), Applied Psychology (24 citations) and Experimental and Cognitive Psychology (44 citations). Xian Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhenyu Liao, Zhaoli Song, Wu Liu, Haiyan Zhang, Dongping Li, Lauren Hale, Monique K. LeBourgeois, Lauren E. Hartstein, John L. Teall and James Hendler. Their work appears in journals such as Nature Communications, Journal of Applied Psychology and Chemical Engineering Journal.

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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