X. Wang

839 citations
25 papers · 109 · h-index 5

Impact in

Papers in

X. Wang

17 papers receiving 105 citations

Peers

X. Wang
Comparison fields: 5 of 31
  • Computer Vision and Pattern Recognition 62
  • Computer Graphics and Computer-Aided Design 8
  • Artificial Intelligence 51
  • Hardware and Architecture 7
  • Signal Processing 8
Replace Carl-Johann Simon-Gabriel with:
Carl-Johann Simon-Gabriel Germany
Michael Walter Germany
Jarek Duda Poland
Yixing Lao United Kingdom
Nicolas Flammarion United States
Jongwook Choi South Korea
Khanh Do Ba United States
Florian Scheidegger Switzerland
Patrick Pletscher Switzerland
Lazar Valkov United States
X. Wang relative to Carl-Johann Simon-Gabriel Germany Carl-Johann Simon-Gabriel's profile →
Citations per field
00.5×1.5×
Carl-Johann Simon-Gabriel · 1×
Citations per year

Countries citing papers authored by X. Wang

Since Specialization
Citations

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

Fields of papers citing papers by X. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A SURVEY OF DIGITAL VECTOR MAP WATERMARKING
200652
2 201919
3 20227
4 20236
5 20206
6 20033
7 20193
8 20162
9 20222
10 20132
11 20241
12 20121
13 20231
14 20241
15 20201
16 20251
17 20091
18 20240
19 20180
20 20220

About X. Wang

X. Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Control and Systems Engineering and Media Technology, having authored 25 papers that have together received 109 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (4 papers), Advanced Image Fusion Techniques (3 papers), Anomaly Detection Techniques and Applications (3 papers), Image Processing Techniques and Applications (2 papers), Distributed Sensor Networks and Detection Algorithms (2 papers), Medical Image Segmentation Techniques (2 papers), Adversarial Robustness in Machine Learning (2 papers) and Quantum Computing Algorithms and Architecture (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (62 citations), Computer Graphics and Computer-Aided Design (8 citations), Artificial Intelligence (51 citations), Hardware and Architecture (7 citations) and Signal Processing (8 citations). X. Wang has collaborated with scholars based in China, Thailand and Germany. Frequent co-authors include Xiamu Niu, Xiaogang Xu, Guanlei Xu, Xun Wang, Yifan Deng, Meng Zhou, Rui Guo, Yaonan Zhang, Biao Hu and Di Cheng. Their work appears in journals such as Quantum Information Processing, Remote Sensing, Computer Standards & Interfaces, Digital Signal Processing and Electronics.

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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