Xiwei Mi

2.8k citations
29 papers · 2.2k · 2 hit papers · h-index 18

Impact in

Papers in

Co-authors
Hui Liu (8 shared papers)Yanfei Li (5 shared papers)Yanfei Li (2 shared papers)Yan-fei Li (1 shared paper)Chengqing Yu (13 shared papers)Shuo Zhao (3 shared papers)Guangxi Yan (7 shared papers)Yinan Xu (1 shared paper)
Journals
Energy Conversion and Management (7 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)Digital Signal Processing (2 papers)Renewable Energy (2 papers)Applied Sciences (2 papers)
Partner nations
ChinaHong Kong

In The Last Decade

Xiwei Mi

26 papers receiving 2.2k citations

Xiwei Mi's Hit Papers

Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM 2018 · 387 citations
3870+3+6Years since publication100200300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

  • it has ≥500 total citations;
  • it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
  • it reaches the top citation threshold in at least one of its specific research topics.
  1. 2018 Energy Conversion and Management
  2. 2017 Energy Conversion and Management

Peers

Xiwei Mi
Comparison fields: 5 of 94
  • Energy Engineering and Power Technology 182
  • Electrical and Electronic Engineering 1.7k
  • Management Science and Operations Research 351
  • Environmental Engineering 349
  • Artificial Intelligence 751
Replace Tong Niu with:
Tong Niu China
Ping Jiang China
Yanbin Yuan China
Pei Du China
Wendong Yang China
Zhongda Tian China
Haixiang Zang China
Ye Ren Singapore
Jie Yan China
Xiwei Mi relative to Tong Niu China Tong Niu's profile →
Citations per field
00.5×2×3×4×4.5×
Tong Niu · 1×
Citations per year

Countries citing papers authored by Xiwei Mi

Since Specialization
Citations

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

Fields of papers citing papers by Xiwei Mi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM
Energy Conversion and Management ·Hui Liu, Xiwei Mi, Yanfei Li
Hit paper breakdown →		2018387
2
Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network
Energy Conversion and Management ·Hui Liu, Xiwei Mi, Yan-fei Li
Hit paper breakdown →		2017385
3
Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network
Energy Conversion and Management ·Hui Liu, Xiwei Mi, Yanfei Li
2018258
4
Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine
Energy Conversion and Management ·Xiwei Mi, Hui Liu, Yanfei Li
2018209
5
Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression
Renewable Energy ·Hui Liu, Xiwei Mi, Yanfei Li, Zhu Duan, Yinan Xu
2019162
6
An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm
Renewable Energy ·Hui Liu, Xiwei Mi, Yanfei Li
2018135
7
Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks
Energy Conversion and Management ·Hui Liu, Xiwei Mi, Yanfei Li
2017122
8
A multi-factor driven spatiotemporal wind power prediction model based on ensemble deep graph attention reinforcement learning networks
Energy ·Chengqing Yu, Guangxi Yan, Chengming Yu, Yu Zhang, Xiwei Mi
202299
9
Wind speed forecasting method using wavelet, extreme learning machine and outlier correction algorithm
Energy Conversion and Management ·Xiwei Mi, Hui Liu, Yanfei Li
201793
10
Wind speed prediction based on singular spectrum analysis and neural network structural learning
Energy Conversion and Management ·Xiwei Mi, Shuo Zhao
202083
11
A new multi-data-driven spatiotemporal PM2.5 forecasting model based on an ensemble graph reinforcement learning convolutional network
Atmospheric Pollution Research ·Xinwei Liu, Muchuan Qin, Yue He, Xiwei Mi, Chengqing Yu
202157
12
A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network
Digital Signal Processing ·Pan Shang, Xinwei Liu, Chengqing Yu, Guangxi Yan, Qingqing Xiang, Xiwei Mi
202242
13
Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China
Applied Soft Computing ·Chengqing Yu, Guangxi Yan, Chengming Yu, Xiwei Mi
202332
14
Wind-speed prediction model based on variational mode decomposition, temporal convolutional network, and sequential triplet loss
Sustainable Energy Technologies and Assessments ·Li Huang, Zheyuan Jiang, Ziyi Shi, Yanhui Han, Chengqing Yu, Xiwei Mi
202226
15
WGformer: A Weibull-Gaussian Informer based model for wind speed prediction
Engineering Applications of Artificial Intelligence ·Ziyi Shi, Li Jia, Zheyuan Jiang, Li Huang, Chengqing Yu, Xiwei Mi
202424
16
Improving Synchronization in High-Speed Railway and Air Intermodality: Integrated Train Timetable Rescheduling and Passenger Flow Forecasting
IEEE Transactions on Intelligent Transportation Systems ·Yuyan Tan, Yibo Li, Ruxin Wang, Xiwei Mi, Ya-Xuan Li, Hao Zheng, Yu Ke, Yan Wang
202222
17
TFEformer: A new temporal frequency ensemble transformer for day-ahead photovoltaic power prediction
Journal of Cleaner Production ·Chengming Yu, (unknown), Ji Qiao, Chao Chen, Chengqing Yu, Xiwei Mi
202421
18
A dynamic ensemble deep deterministic policy gradient recursive network for spatiotemporal traffic speed forecasting in an urban road network
Digital Signal Processing ·Xiwei Mi, Chengqing Yu, Xinwei Liu, Guangxi Yan, Fuhao Yu, Pan Shang
202219
19
Integrated optimization model for hierarchical service network design and passenger assignment in an urban rail transit network: A Lagrangian duality reformulation and an iterative layered optimization framework based on forward-passing and backpropagation
Transportation Research Part C Emerging Technologies ·Pan Shang, Liya Yang, Yu Yao, Lu Tong, Senyan Yang, Xiwei Mi
202217
20
A Novel Hybrid Model for Short-Term High-Speed Railway Passenger Demand Forecasting
IEEE Access ·Shuo Zhao, Xiwei Mi
201915

About Xiwei Mi

Xiwei Mi is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Environmental Engineering, Building and Construction and Transportation, having authored 29 papers that have together received 2.2k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (18 papers), Solar Radiation and Photovoltaics (7 papers), Traffic Prediction and Management Techniques (6 papers), Air Quality Monitoring and Forecasting (5 papers), Transportation Planning and Optimization (5 papers), Wind Energy Research and Development (4 papers), Wind and Air Flow Studies (3 papers) and Vehicle emissions and performance (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (182 citations), Electrical and Electronic Engineering (1.7k citations), Management Science and Operations Research (351 citations), Environmental Engineering (349 citations) and Artificial Intelligence (751 citations). Xiwei Mi has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Hui Liu, Yanfei Li, Yanfei Li, Yan-fei Li, Chengqing Yu, Shuo Zhao, Guangxi Yan, Yinan Xu, Zhu Duan and Chengming Yu. Their work appears in journals such as Energy Conversion and Management, IEEE Transactions on Intelligent Transportation Systems, Digital Signal Processing, Renewable Energy and Applied Sciences.

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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