Xu Hai

661 citations
87 papers · 343 · h-index 11

Impact in

Papers in

Xu Hai

74 papers receiving 329 citations

Peers

Xu Hai
Comparison fields: 5 of 100
  • Language and Linguistics 60
  • Health Informatics 4
  • Computer Vision and Pattern Recognition 51
  • Developmental and Educational Psychology 27
  • Artificial Intelligence 69
Replace May Liu with:
May Liu United States
Xu Xu China
Mengyue Wu China
Wang Qiang China
Dimitra Anastasiou Germany
James Bewes Australia
Md. Masum Billah Bangladesh
Oanh Tran United States
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Citations per field
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Citations per year

Countries citing papers authored by Xu Hai

Since Specialization
Citations

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

Fields of papers citing papers by Xu Hai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xu Hai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xu Hai Line = papers co-authored together Xu Hai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202231
2 202020
3 202017
4 201517
5 201515
6 202014
7 202313
8
A preliminary pharmacophylogenetic investigation in Schisandraceae
200811
9 202211
10 201911
11
Effect of Silicon Fertilizer Application on Yield and Grain Quality of japonica Rice from Northeast China
200910
12 202010
13 20228
14 20197
15 20247
16 20087
17 20256
18 20186
19
Methods of Constructing Core Collection of Crop Germplasm by Comparing Different Genetic Distances, Cluster Methods and Sampling Strategies
20045
20 20175

About Xu Hai

Xu Hai is a scholar working on Language and Linguistics, Plant Science, Artificial Intelligence, Developmental and Educational Psychology and Computer Vision and Pattern Recognition, having authored 87 papers that have together received 343 indexed citations. Recurring topics across this work include Lexicography and Language Studies (19 papers), Second Language Acquisition and Learning (9 papers), Natural Language Processing Techniques (9 papers), Rice Cultivation and Yield Improvement (6 papers), Advanced Neural Network Applications (5 papers), linguistics and terminology studies (5 papers), Language, Metaphor, and Cognition (5 papers) and Agriculture, Soil, Plant Science (4 papers). The work is most often cited by research in Language and Linguistics (60 citations), Health Informatics (4 citations), Computer Vision and Pattern Recognition (51 citations), Developmental and Educational Psychology (27 citations) and Artificial Intelligence (69 citations). Xu Hai has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Hongtao Xie, Yongdong Zhang, Songshan Zhang, Heng Chen, Qi Tian, Xian Zhang, Xiaonan Guo, Xiaohu Li, Yi Shen and Bensheng Qiu. Their work appears in journals such as International Journal of Lexicography, Lingua, Medical Physics, System and Journal of Systematics and Evolution.

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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