Xiting Wang

2.1k citations
57 papers · 1.4k · 1 hit paper · h-index 18

Impact in

Papers in

Xiting Wang

55 papers receiving 1.4k citations

Xiting Wang's Hit Papers

A Neural Influence Diffusion Model for Social Recommendation 2019 · 401 citations
4010+2+4Years since publication100200300400

Peers

Xiting Wang
Comparison fields: 5 of 135
  • Information Systems 681
  • Artificial Intelligence 784
  • Computer Vision and Pattern Recognition 187
  • Computer Science Applications 46
  • Management Science and Operations Research 94
Replace Dilip Kumar Sharma with:
Dilip Kumar Sharma India
Xiaojun Ye China
Sheng Gao China
Chongjun Wang China
Xiatian Zhang China
Saba Bashir Pakistan
Liang Yao China
Derong Shen China
Marı́a N. Moreno Garcı́a Spain
Xiting Wang relative to Dilip Kumar Sharma India Dilip Kumar Sharma's profile →
Citations per field
00.5×3.8×
Dilip Kumar Sharma · 1×
Citations per year

Countries citing papers authored by Xiting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiting Wang, 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 Xiting Wang Line = papers co-authored together Xiting Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Neural Influence Diffusion Model for Social Recommendation
Hit paper breakdown →
2019401
2 202195
3 202186
4 202482
5 201776
6 202272
7 201771
8 202254
9 202246
10 202138
11 202037
12 202134
13 202029
14 202026
15 202223
16 201720
17 201818
18 202018
19 201617
20 201817

About Xiting Wang

Xiting Wang is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Global and Planetary Change and Sociology and Political Science, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (12 papers), Recommender Systems and Techniques (8 papers), Advanced Graph Neural Networks (6 papers), Natural Language Processing Techniques (4 papers), Atmospheric aerosols and clouds (3 papers), Atmospheric Ozone and Climate (3 papers), Atmospheric chemistry and aerosols (3 papers) and Semantic Web and Ontologies (3 papers). The work is most often cited by research in Information Systems (681 citations), Artificial Intelligence (784 citations), Computer Vision and Pattern Recognition (187 citations), Computer Science Applications (46 citations) and Management Science and Operations Research (94 citations). Xiting Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Le Wu, Richang Hong, Meng Wang, Yanjie Fu, Peijie Sun, Xing Xie, Fangzhao Wu, Chuhan Wu, Yongfeng Huang and Lei Chen. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Journal of Geophysical Research Atmospheres, World Journal of Traditional Chinese Medicine, Advanced Energy Materials and Biochemical Pharmacology.

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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