Xinhan Wang

914 citations
23 papers · 662 · 2 hit papers · h-index 12

Impact in

Papers in

Xinhan Wang

23 papers receiving 654 citations

Xinhan Wang's Hit Papers

DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification 2024 · 67 citations
670+1+3Years since publication50100150

Peers

Xinhan Wang
Comparison fields: 5 of 92
  • Computer Networks and Communications 225
  • Computer Vision and Pattern Recognition 189
  • Artificial Intelligence 191
  • Signal Processing 37
  • Ceramics and Composites 19
Replace Frank Alexander Kraemer with:
Frank Alexander Kraemer Germany
Liefa Liao China
Takuro Sato Japan
Wooseong Kim South Korea
Songlin Chen China
Jianxin Chen China
Jiangbo Qian China
Kan Wang China
Xinhan Wang relative to Frank Alexander Kraemer Germany Frank Alexander Kraemer's profile →
Citations per field
00.5×
Frank Alexander Kraemer · 1×
Citations per year

Countries citing papers authored by Xinhan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xinhan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A federated learning system with enhanced feature extraction for human activity recognition
Hit paper breakdown →
2021184
2 2022103
3
DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification
Hit paper breakdown →
202467
4 202165
5 201945
6 202335
7 201625
8 202222
9 202220
10 202314
11 202314
12 202312
13 202110
14 20239
15 20238
16 20247
17 20237
18 20195
19 20224
20 20252

About Xinhan Wang

Xinhan Wang is a scholar working on Computer Networks and Communications, Materials Chemistry, Artificial Intelligence, Biomedical Engineering and Signal Processing, having authored 23 papers that have together received 662 indexed citations. Recurring topics across this work include Diamond and Carbon-based Materials Research (6 papers), Advanced Surface Polishing Techniques (5 papers), Software-Defined Networks and 5G (5 papers), IoT and Edge/Fog Computing (4 papers), Wireless Signal Modulation Classification (3 papers), Time Series Analysis and Forecasting (3 papers), Metal and Thin Film Mechanics (2 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Computer Networks and Communications (225 citations), Computer Vision and Pattern Recognition (189 citations), Artificial Intelligence (191 citations), Signal Processing (37 citations) and Ceramics and Composites (19 citations). Xinhan Wang has collaborated with scholars based in China and United Kingdom. Frequent co-authors include Huanlai Xing, Zhiwen Xiao, Bowen Zhao, Fuhong Song, Shouxi Luo, Penglin Dai, Xin Xu, Jiabin Lu, Wentao Liu and Qiang Xiong. Their work appears in journals such as Diamond and Related Materials, Applied Soft Computing, Information Sciences, IEEE Transactions on Cognitive and Developmental Systems and IEEE Transactions on Mobile Computing.

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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