Ailing Zeng

4.4k citations
26 papers · 1.6k · 1 hit paper · h-index 10

Impact in

Papers in

Ailing Zeng

25 papers receiving 1.5k citations

Ailing Zeng's Hit Papers

Are Transformers Effective for Time Series Forecasting? 2023 · 1.1k citations
1.1k0+1+2Years since publication2505007501000

Peers

Ailing Zeng
Comparison fields: 5 of 125
  • Signal Processing 400
  • Management Science and Operations Research 307
  • Computer Vision and Pattern Recognition 401
  • Artificial Intelligence 479
  • Human-Computer Interaction 82
Replace Kejun Wang with:
Kejun Wang China
Massimo Panella Italy
Shun Chen China
Colin Lea United States
Ruobin Gao Singapore
Xianfu Chen Finland
Douglas Creighton Australia
Manuel Roveri Italy
Yunhai Tong China
Takashi Kuremoto Japan
Ailing Zeng relative to Kejun Wang China Kejun Wang's profile →
Citations per field
00.5×3.5×
Kejun Wang · 1×
Citations per year

Countries citing papers authored by Ailing Zeng

Since Specialization
Citations

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

Fields of papers citing papers by Ailing Zeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Are Transformers Effective for Time Series Forecasting?
Hit paper breakdown →
20231113
2 2021100
3 202361
4 202349
5 202349
6 202048
7 202339
8 202327
9 202318
10 20239
11 20249
12 20249
13 20247
14 20255
15 20215
16 20243
17 20252
18
Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image.
20182
19 20251
20 20241

About Ailing Zeng

Ailing Zeng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Control and Systems Engineering and Computational Mechanics, having authored 26 papers that have together received 1.6k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (14 papers), Hand Gesture Recognition Systems (6 papers), Human Motion and Animation (5 papers), Advanced Neural Network Applications (5 papers), Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (3 papers), Gait Recognition and Analysis (3 papers) and Diabetic Foot Ulcer Assessment and Management (3 papers). The work is most often cited by research in Signal Processing (400 citations), Management Science and Operations Research (307 citations), Computer Vision and Pattern Recognition (401 citations), Artificial Intelligence (479 citations) and Human-Computer Interaction (82 citations). Ailing Zeng has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Qiang Xu, Lei Zhang, Muxi Chen, Minhao Liu, Yu Li, Chun Yuan, Zhendong Yang, Lei Yang, Nanxuan Zhao and Xiao Sun. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, SIAM Journal on Financial Mathematics, IEEE Transactions on Circuits and Systems for Video Technology, Proceedings of the AAAI Conference on Artificial Intelligence and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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