Yuyang Wang

2.3k citations
68 papers · 901 indexed · 1 hit paper · h-index 14

Yuyang Wang

59 papers receiving 859 citations

Hit Papers

Deep State Space Models for Time Series Forecasting247201820262020202350100150200

Peers

Yuyang Wang
Comparison fields: 5 of 141
  • Signal Processing 192
  • Management Science and Operations Research 218
  • Human-Computer Interaction 65
  • Neurology 79
  • Developmental Neuroscience 33
Replace Lei Cao with:
Lei Cao China
Ajay Verma United States
Zhe Sun China
Brandon Westover United States
Pin Lv China
Youyong Kong China
Leonardo Franco Spain
Ling‐Jyh Chen Taiwan
Chun-Fu Chen Taiwan
James P. Rice United States
Yuyang Wang relative to Lei Cao China Lei Cao's profile →
Citations per field
00.5×8.3×
Lei Cao · 1×
Citations per year

Countries citing papers authored by Yuyang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuyang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20243
4 20241
5 20246
6 20242
7 20230
8 20232
9 20232
10 20231
11 20231
12 20222
13 20221
14 20223
15
Adversarially Robust Imitation Learning
20211
16 20192
17 20192
18
Deep Factors for Forecasting
20196
19
Deep State Space Models for Time Series Forecastingbreakdown →
2018247
20 201848

About Yuyang Wang

Yuyang Wang is a scholar working on Human-Computer Interaction, Signal Processing, Computer Graphics and Computer-Aided Design, Health Informatics and Management Science and Operations Research, having authored 68 papers that have together received 901 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (15 papers), Time Series Analysis and Forecasting (7 papers), Stock Market Forecasting Methods (6 papers), Cloud Computing and Resource Management (4 papers), Forecasting Techniques and Applications (4 papers), Human-Automation Interaction and Safety (3 papers), Computer Graphics and Visualization Techniques (3 papers) and Augmented Reality Applications (3 papers). The work is most often cited by research in Signal Processing (192 citations), Management Science and Operations Research (218 citations), Human-Computer Interaction (65 citations), Neurology (79 citations) and Developmental Neuroscience (33 citations). Yuyang Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Tim Januschowski, Jan Gasthaus, Matthias Seeger, Syama Sundar Rangapuram, Lorenzo Stella, Jean-Rémy Chardonnet, Valentín Flunkert, Frédéric Mérienne, Christos Faloutsos and David Salinas. Their work appears in journals such as International Journal of Human-Computer Studies, Proceedings of the VLDB Endowment, IEEE Transactions on Human-Machine Systems, Knowledge-Based Systems and Mobile Networks and Applications.

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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