Xiaoli Wang

957 citations
78 papers · 583 indexed · h-index 14

Impact in

Papers in

Xiaoli Wang

62 papers receiving 559 citations

Peers

Xiaoli Wang
Comparison fields: 5 of 98
  • Artificial Intelligence 236
  • Computer Networks and Communications 140
  • Management Science and Operations Research 76
  • Signal Processing 61
  • Information Systems 123
Replace Wubai Zhou with:
Wubai Zhou United States
Dženana Đonko Bosnia and Herzegovina
Chunqiu Zeng United States
Yexi Jiang United States
Yan Zhuang Macao
Peter Membrey Hong Kong
Tawfiq Hasanin Saudi Arabia
Murat Şensoy United Kingdom
Claus Stadler Germany
Xiaoli Wang relative to Wubai Zhou United States Wubai Zhou's profile →
Citations per field
00.5×4.9×
Wubai Zhou · 1×
Citations per year

Countries citing papers authored by Xiaoli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021103
2 201338
3 201330
4 202228
5 201225
6 202324
7 202223
8 201322
9 201919
10 201219
11 201218
12
LEADER-FOLLOWING CONSENSUS OF MULTIPLE LINEAR SYSTEMS UNDER SWITCHING TOPOLOGIES: AN AVERAGING METHOD
201216
13 201813
14 201613
15 202212
16 200811
17 202210
18 201910
19 20219
20 20219

About Xiaoli Wang

Xiaoli Wang is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 78 papers that have together received 583 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Data Quality and Management (7 papers), Data Management and Algorithms (5 papers), Advanced Text Analysis Techniques (5 papers), Neural Networks Stability and Synchronization (5 papers), Cloud Computing and Resource Management (4 papers), Software System Performance and Reliability (4 papers) and Machine Learning in Healthcare (4 papers). The work is most often cited by research in Artificial Intelligence (236 citations), Computer Networks and Communications (140 citations), Management Science and Operations Research (76 citations), Signal Processing (61 citations) and Information Systems (123 citations). Xiaoli Wang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Meihong Wang, Anthony K. H. Tung, Xiaofeng Ding, Wei Lü, Yueguo Chen, Sai Wu, Xiaoyong Du, Xu Xin, Kang Chen and Sheng Wang. Their work appears in journals such as Sensors, IEEE Transactions on Knowledge and Data Engineering, Multimedia Tools and Applications, Techniques in Coloproctology and Information Sciences.

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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