Xiaoli Wang

985 citations
90 papers · 670 · h-index 14

Impact in

Papers in

Xiaoli Wang

75 papers receiving 645 citations

Peers

Xiaoli Wang
Comparison fields: 5 of 96
  • Artificial Intelligence 288
  • Management Science and Operations Research 88
  • Computer Networks and Communications 154
  • Signal Processing 72
  • Information Systems 144
Replace Wubai Zhou with:
Wubai Zhou United States
Josef Küng Austria
Yan Zhuang Macao
Chunqiu Zeng United States
Yexi Jiang United States
Nguyen Khoi Tran Australia
Tawfiq Hasanin Saudi Arabia
Murat Şensoy United Kingdom
Lilly Suriani Affendey Malaysia
Xiaoli Wang relative to Wubai Zhou United States Wubai Zhou's profile →
Citations per field
00.5×
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 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021134
2 201342
3 201333
4 202230
5 201326
6 202326
7 201226
8 202223
9 201220
10 201220
11 201919
12
LEADER-FOLLOWING CONSENSUS OF MULTIPLE LINEAR SYSTEMS UNDER SWITCHING TOPOLOGIES: AN AVERAGING METHOD
201216
13 201815
14 201614
15 200813
16 202212
17 202211
18 202211
19 201910
20 201710

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 90 papers that have together received 670 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Data Quality and Management (7 papers), Advanced Image and Video Retrieval Techniques (5 papers), Data Mining Algorithms and Applications (5 papers), Advanced Text Analysis Techniques (5 papers), Data Management and Algorithms (5 papers), Neural Networks Stability and Synchronization (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Artificial Intelligence (288 citations), Management Science and Operations Research (88 citations), Computer Networks and Communications (154 citations), Signal Processing (72 citations) and Information Systems (144 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, Yuping Wang, Zhenjie Zhang, Albert Kai-Sun Wong, Xiaoyong Du, Sheng Wang and Zhenjie Zhang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Sensors, Techniques in Coloproctology, Multimedia Tools and Applications and CATENA.

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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