Changxuan Wan

558 citations
59 papers · 334 indexed · h-index 10
Topics
Data Management and Algorithms (22 papers)Advanced Database Systems and Queries (19 papers)Topic Modeling (11 papers)

In The Last Decade

Changxuan Wan

46 papers receiving 319 citations

Peers

Changxuan Wan
Comparison fields: 5 of 68
  • Artificial Intelligence 178
  • Information Systems 105
  • Computer Networks and Communications 73
  • Signal Processing 57
  • Statistical and Nonlinear Physics 31
Replace Pradeep K. Murukannaiah with:
Pradeep K. Murukannaiah United States
Miquel Montaner Spain
Álvaro Barreiro Spain
Jonathan Gemmell United States
Rahul Pandey United States
Ernesto Diaz-Aviles Germany
Tim Donkers Germany
Daniel Alexander Smith United Kingdom
Simon Dooms Belgium
Chongyang Shi China
Changxuan Wan relative to Pradeep K. Murukannaiah United States Pradeep K. Murukannaiah's profile →
Citations per field
00.5×1.5×1.8×
Pradeep K. Murukannaiah · 1×
Citations per year

Countries citing papers authored by Changxuan Wan

Since Specialization
Citations

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

Fields of papers citing papers by Changxuan Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changxuan Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Changxuan Wan. A scholar is included among the top collaborators of Changxuan Wan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Changxuan Wan. Changxuan Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 1
4 2
5 15
6 4
7 6
8 5
9 3
10 39
11 2
12 1
13 0
14 8
15
Harmonically Coupled Chaotic System for a Pseudo-random Bit Generator
9
16 11
17
Retrieval Result Clustering Method Based on XML
1
18
Efficient Processing of X-Tuple Based Top-k Queries in Uncertain Database
1
19
Result Ranking of Keyword Search over XML Documents
0
20 0

About Changxuan Wan

Changxuan Wan is a scholar working on Signal Processing, Computational Mathematics and Computer Networks and Communications, having authored 59 papers that have together received 334 indexed citations. Recurring topics across this work include Data Management and Algorithms (22 papers), Advanced Database Systems and Queries (19 papers) and Topic Modeling (11 papers). The work is most often cited by research in Computational Mathematics (4 citations), Artificial Intelligence (178 citations) and Signal Processing (57 citations). Changxuan Wan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiping Liu, Dexi Liu, Keli Xiao, Lei Chen, Yun Peng, Naixue Xiong, Zhiheng Zhou, Renqiang Liu, Mingsong Mao and Jing Li. Their work appears in journals such as IEEE Access, Information Sciences and IEEE Transactions on Industrial Informatics.

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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