Youru Li

836 citations
25 papers · 545 · 1 hit paper · h-index 9

Impact in

Papers in

Youru Li

22 papers receiving 535 citations

Youru Li's Hit Papers

EA-LSTM: Evolutionary attention-based LSTM for time series prediction 2019 · 332 citations
3320+2+4Years since publication100200300

Peers

Youru Li
Comparison fields: 5 of 108
  • Transportation 58
  • Management Science and Operations Research 98
  • Signal Processing 81
  • Building and Construction 88
  • Artificial Intelligence 183
Replace Yuxiu Hua with:
Yuxiu Hua China
Deqiang Kong China
Fan-Keng Sun Taiwan
Pradeep Hewage United Kingdom
Maxim Shcherbakov Russia
Jian Zheng China
Zhengyang Zhou China
Yonghong Luo China
Ahmet Şakir Dokuz Türkiye
Ella Pereira United Kingdom
Youru Li relative to Yuxiu Hua China Yuxiu Hua's profile →
Citations per field
00.5×1.5×1.8×
Yuxiu Hua · 1×
Citations per year

Countries citing papers authored by Youru Li

Since Specialization
Citations

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

Fields of papers citing papers by Youru Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Youru Li, 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 Youru Li Line = papers co-authored together Youru Li 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
EA-LSTM: Evolutionary attention-based LSTM for time series prediction
Hit paper breakdown →
2019332
2 201955
3 202026
4 202226
5 202115
6 202115
7 202311
8 202311
9 20209
10 20198
11 20237
12 20246
13 20235
14 20235
15 20224
16 20232
17 20242
18 20222
19 20241
20 20151

About Youru Li

Youru Li is a scholar working on Artificial Intelligence, Information Systems, Signal Processing, Management Science and Operations Research and Health Information Management, having authored 25 papers that have together received 545 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (6 papers), Time Series Analysis and Forecasting (5 papers), Topic Modeling (5 papers), Machine Learning in Healthcare (5 papers), Stock Market Forecasting Methods (4 papers), Artificial Intelligence in Healthcare (4 papers), Recommender Systems and Techniques (4 papers) and Complex Network Analysis Techniques (3 papers). The work is most often cited by research in Transportation (58 citations), Management Science and Operations Research (98 citations), Signal Processing (81 citations), Building and Construction (88 citations) and Artificial Intelligence (183 citations). Youru Li has collaborated with scholars based in China, United States and Slovenia. Frequent co-authors include Zhenfeng Zhu, Yao Zhao, Deqiang Kong, Hua Han, Huaiyu Wan, Xiaobo Guo, Ning Zhang, Haiyan Wu, Shuai Zheng and Lin Yang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Computers in Biology and Medicine, ACM Transactions on Knowledge Discovery from Data, Information Sciences and Artificial Intelligence in Medicine.

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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