Ge Xia

72 papers receiving 1.5k citations

Peers

Ge Xia
Comparison fields: 5 of 62
  • Computational Theory and Mathematics 1.1k
  • Computer Graphics and Computer-Aided Design 177
  • Computer Networks and Communications 104
  • Artificial Intelligence 132
  • Discrete Mathematics and Combinatorics 12
Replace Markus Chimani with:
Markus Chimani Germany
Ryuhei Uehara Japan
Meena Mahajan India
Fǎnicǎ Gavril Israel
Shay Mozes Israel
Andrzej Lingas Sweden
Łukasz Kowalik Poland
Robert Wilber United States
Mihai Pǎtraşcu United States
Elias Dahlhaus Germany
Ge Xia relative to Markus Chimani Germany Markus Chimani's profile →
Citations per field
00.5×2×2.7×
Markus Chimani · 1×
Citations per year

Countries citing papers authored by Ge Xia

Since Specialization
Citations

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

Fields of papers citing papers by Ge Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010257
2 2006177
3 2005127
4 2006115
5 200493
6 200790
7 201576
8 200859
9
THE STRETCH FACTOR OF THE DELAUNAY TRIANGULATION IS LESS THAN 1.998
201339
10 201037
11 200535
12 201131
13 200428
14 200628
15 200525
16 200720
17
Toward the tight bound of the stretch factor of Delaunay triangulations
201116
18 200614
19 201014
20 201014

About Ge Xia

Ge Xia is a scholar working on Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Aerospace Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Graph Theory Research (38 papers), Computational Geometry and Mesh Generation (18 papers), Complexity and Algorithms in Graphs (7 papers), Turbomachinery Performance and Optimization (6 papers), Mobile Ad Hoc Networks (3 papers), Genomics and Phylogenetic Studies (3 papers), Microgrid Control and Optimization (2 papers) and Algorithms and Data Compression (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Computer Graphics and Computer-Aided Design (177 citations), Computer Networks and Communications (104 citations), Artificial Intelligence (132 citations) and Discrete Mathematics and Combinatorics (12 citations). Ge Xia has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Iyad A. Kanj, Jianer Chen, Xiuzhen Huang, Henning Fernau, Benny Chor, David W. Juedes, Ljubomir Perković, Luay K. Nakhleh, Cuong V. Than and Qiguang Miao. Their work appears in journals such as Theoretical Computer Science, Journal of Computer and System Sciences, Applied Thermal Engineering, Algorithmica and Information and Computation.

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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