Zigang Lu

12.9k citations
23 papers · 9.2k · 1 hit paper · h-index 7

Impact in

Papers in

Zigang Lu

20 papers receiving 8.9k citations

Zigang Lu's Hit Papers

The Elements of Statistical Learning: Data Mining, Inference, and Prediction 2010 · 9.1k citations
9.1k0+5+10Years since publication2.5k5.0k7.5k

Peers

Zigang Lu
Comparison fields: 5 of 230
  • Artificial Intelligence 2.2k
  • Statistics and Probability 504
  • Environmental Engineering 683
  • Management Science and Operations Research 511
  • Signal Processing 449
Replace Naomi Altman with:
Naomi Altman United States
Stephan R. Sain United States
Ying Sun Saudi Arabia
David S. Stoffer United States
Anne‐Laure Boulesteix Germany
Louis Wehenkel Belgium
Giuseppe Jurman Italy
Leonard Kaufman Belgium
Gareth James United States
Davide Chicco Canada
Zigang Lu relative to Naomi Altman United States Naomi Altman's profile →
Citations per field
00.5×1.5×
Naomi Altman · 1×
Citations per year

Countries citing papers authored by Zigang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Zigang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Hit paper breakdown →
20109119
2 201531
3 200920
4 202512
5 20137
6 20187
7 20206
8 20214
9 20164
10 20183
11 20123
12 20222
13 20182
14 20162
15 20162
16 20201
17 20261
18 20201
19 20171
20 20231

About Zigang Lu

Zigang Lu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition and Civil and Structural Engineering, having authored 23 papers that have together received 9.2k indexed citations. Recurring topics across this work include Power System Optimization and Stability (6 papers), Energy Load and Power Forecasting (4 papers), Power Systems Fault Detection (3 papers), Optimal Power Flow Distribution (3 papers), Microgrid Control and Optimization (2 papers), Anomaly Detection Techniques and Applications (2 papers), Neural Networks and Applications (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Artificial Intelligence (2.2k citations), Statistics and Probability (504 citations), Environmental Engineering (683 citations), Management Science and Operations Research (511 citations) and Signal Processing (449 citations). Zigang Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yonghui Sun, Zhinong Wei, Wenjie Yu, Xiaopeng Wu, Guoqiang Sun, Minrui Xu, Zhixin Li, Jiguang Deng, Haowei Zhang and Zhen Wei. Their work appears in journals such as Fire Technology, Advanced Functional Materials, Computer Standards & Interfaces, Journal of the Franklin Institute and Journal of the Royal Statistical Society Series A (Statistics in Society).

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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