Xiting Wang

2.0k citations
36 papers · 1.4k · h-index 19

Impact in

Papers in

Xiting Wang

35 papers receiving 1.3k citations

Peers

Xiting Wang
Comparison fields: 5 of 116
  • Artificial Intelligence 909
  • Computer Vision and Pattern Recognition 538
  • Information Systems 435
  • Health Informatics 26
  • Management Science and Operations Research 101
Replace Leonardo Rocha with:
Leonardo Rocha Brazil
Chuanqi Tan China
Divakar Yadav India
Stephen H. Bach United States
Yue Wang China
Zhifang Sui China
Juan A. Recio-Garcí­a Spain
Mihajlo Grbovic United States
Richong Zhang China
Xiting Wang relative to Leonardo Rocha Brazil Leonardo Rocha's profile →
Citations per field
00.5×2×2.9×
Leonardo Rocha · 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 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017296
2 2018105
3 2019100
4 201994
5 201688
6 202085
7 201871
8 201561
9 201459
10
Towards a Deep and Unified Understanding of Deep Neural Models in NLP
201946
11 202042
12 202038
13 201938
14 202236
15 201433
16 202130
17 201629
18 201727
19 202123
20 202115

About Xiting Wang

Xiting Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics and Signal Processing, having authored 36 papers that have together received 1.4k indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Data Visualization and Analytics (10 papers), Recommender Systems and Techniques (7 papers), Explainable Artificial Intelligence (XAI) (6 papers), Natural Language Processing Techniques (4 papers), Complex Network Analysis Techniques (4 papers), Sentiment Analysis and Opinion Mining (4 papers) and Advanced Graph Neural Networks (3 papers). The work is most often cited by research in Artificial Intelligence (909 citations), Computer Vision and Pattern Recognition (538 citations), Information Systems (435 citations), Health Informatics (26 citations) and Management Science and Operations Research (101 citations). Xiting Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xing Xie, Jun Zhu, Mengchen Liu, Baining Guo, Jingyue Gao, Yasha Wang, Jianfei Chen, E. S. Chen, Zhongxia Chen and Le Wu. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Scientific Reports, Visual Informatics, Journal of Medical Internet Research and ACM Transactions on Knowledge Discovery from Data.

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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