Stephen Xia

1.0k citations
47 papers · 715 · 1 hit paper · h-index 11

Impact in

Papers in

Stephen Xia

44 papers receiving 700 citations

Stephen Xia's Hit Papers

Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances 2022 · 284 citations
2840+1+2Years since publication50100150200250

Peers

Stephen Xia
Comparison fields: 5 of 94
  • Computer Vision and Pattern Recognition 287
  • Signal Processing 109
  • Human-Computer Interaction 55
  • Building and Construction 66
  • Critical Care and Intensive Care Medicine 22
Replace Hao Tian with:
Hao Tian China
Aftab Khan United Kingdom
Avik Ghose India
Dan Istrate France
Mohamed Moustafa Egypt
Frédéric Li Germany
Shibo Zhang United States
Pekka Siirtola Finland
Yanzhi Ren United States
Ha Manh United States
Stephen Xia relative to Hao Tian China Hao Tian's profile →
Citations per field
00.5×11×
Hao Tian · 1×
Citations per year

Countries citing papers authored by Stephen Xia

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep Learning in Human Activity Recognition with Wearable Sensors: A Review on Advances
Hit paper breakdown →
2022284
2 202059
3 201854
4 201929
5 201827
6 202123
7 202021
8 201820
9 202120
10 202014
11 202113
12 201710
13 20189
14 20189
15 20229
16 20248
17 20218
18 20227
19 20187
20 20187

About Stephen Xia

Stephen Xia is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience, having authored 47 papers that have together received 715 indexed citations. Recurring topics across this work include Speech and Audio Processing (13 papers), Music and Audio Processing (9 papers), Video Surveillance and Tracking Methods (6 papers), Building Energy and Comfort Optimization (6 papers), Context-Aware Activity Recognition Systems (5 papers), Emotion and Mood Recognition (4 papers), EEG and Brain-Computer Interfaces (4 papers) and Speech Recognition and Synthesis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (287 citations), Signal Processing (109 citations), Human-Computer Interaction (55 citations), Building and Construction (66 citations) and Critical Care and Intensive Care Medicine (22 citations). Stephen Xia has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Xiaofan Jiang, Farzad Shahabi, Yaxuan Li, Shibo Zhang, Shen Zhang, Nabil Alshurafa, Yu Deng, Peter Wei, Chong Li and Runfeng Chen. Their work appears in journals such as IEEE Internet of Things Journal, Sensors, ACM Transactions on Sensor Networks, IEEE Pervasive Computing and Pervasive and 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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