Ye Ren

3.0k citations
31 papers · 2.4k · 3 hit papers · h-index 12

Impact in

Papers in

Ye Ren

28 papers receiving 2.3k citations

Ye Ren's Hit Papers

Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting 2017 · 352 citations
3520+3+7Years since publication100200300400500

Peers

Ye Ren
Comparison fields: 5 of 144
  • Management Science and Operations Research 451
  • Artificial Intelligence 899
  • Energy Engineering and Power Technology 73
  • Electrical and Electronic Engineering 1.3k
  • Environmental Engineering 229
Replace Seçkin Karasu with:
Seçkin Karasu Türkiye
Stéfano Frizzo Stefenon Brazil
John B. Theocharis Greece
Xiwei Mi China
Muhammad Hisyam Lee Malaysia
Hao Quan China
Jujie Wang China
Jianzhong Zhou China
Massimo Panella Italy
Neeraj Dhanraj Bokde India
Ye Ren relative to Seçkin Karasu Türkiye Seçkin Karasu's profile →
Citations per field
00.5×20×40×60×89.5×
Seçkin Karasu · 1×
Citations per year

Countries citing papers authored by Ye Ren

Since Specialization
Citations

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

Fields of papers citing papers by Ye Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]
Hit paper breakdown →
2016513
2
Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting
Hit paper breakdown →
2017352
3
Ensemble methods for wind and solar power forecasting—A state-of-the-art review
Hit paper breakdown →
2015335
4 2014273
5 2014259
6 2016229
7 2014178
8 201575
9 201427
10 201422
11 201517
12 201416
13 201311
14 201711
15
Empirical comparison of bagging-based ensemble classifiers
20128
16 20156
17 20135
18 20235
19 20235
20 20234

About Ye Ren

Ye Ren is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Control and Systems Engineering, Computer Vision and Pattern Recognition and Management Science and Operations Research, having authored 31 papers that have together received 2.4k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (12 papers), Neural Networks and Applications (6 papers), Face and Expression Recognition (5 papers), Semiconductor materials and devices (5 papers), Advancements in Semiconductor Devices and Circuit Design (5 papers), Machine Fault Diagnosis Techniques (5 papers), GNSS positioning and interference (3 papers) and Grey System Theory Applications (3 papers). The work is most often cited by research in Management Science and Operations Research (451 citations), Artificial Intelligence (899 citations), Energy Engineering and Power Technology (73 citations), Electrical and Electronic Engineering (1.3k citations) and Environmental Engineering (229 citations). Ye Ren has collaborated with scholars based in Singapore, China and United Kingdom. Frequent co-authors include Ponnuthurai Nagaratnam Suganthan, Le Zhang, Narasimalu Srikanth, G.A.J. Amaratunga, Xueheng Qiu, N. V. Srikanth, Dipak Laha, Yinhua Liu, Soham Sarkar and Wenming Tan. Their work appears in journals such as Information Sciences, IEEE Computational Intelligence Magazine, GPS Solutions, IEEE Transactions on Sustainable Energy and Applied Soft 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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