Zigang Lu

12.9k total citations · 1 hit paper
17 papers, 8.8k citations indexed

About

Zigang Lu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Zigang Lu has authored 17 papers receiving a total of 8.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 6 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Zigang Lu's work include Energy Load and Power Forecasting (4 papers), Power System Optimization and Stability (4 papers) and Neural Networks and Applications (2 papers). Zigang Lu is often cited by papers focused on Energy Load and Power Forecasting (4 papers), Power System Optimization and Stability (4 papers) and Neural Networks and Applications (2 papers). Zigang Lu collaborates with scholars based in China and United States. Zigang Lu's co-authors include Yonghui Sun, Zhinong Wei, Wenjie Yu, Xiaopeng Wu, Minrui Xu, Guoqiang Sun, Haowei Zhang, Jie Qi, Wenguang Chen and N. R. Dilley and has published in prestigious journals such as Journal of the Franklin Institute, Journal of the Royal Statistical Society Series A (Statistics in Society) and Journal of Research of the National Institute of Standards and Technology.

In The Last Decade

Zigang Lu

16 papers receiving 8.5k citations

Hit Papers

The Elements of Statistical Learning: Data Mining, Infere... 2010 2026 2015 2020 2010 2.5k 5.0k 7.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zigang Lu China 6 2.1k 797 687 660 554 17 8.8k
Stephan R. Sain United States 27 2.0k 0.9× 1.1k 1.3× 451 0.7× 836 1.3× 619 1.1× 85 7.2k
Gareth James United States 27 2.8k 1.3× 728 0.9× 722 1.1× 910 1.4× 560 1.0× 60 13.8k
José A. Lozano Spain 45 4.4k 2.1× 1.0k 1.3× 687 1.0× 327 0.5× 730 1.3× 292 10.4k
Dirk P. Kroese Australia 33 1.9k 0.9× 984 1.2× 1.3k 1.9× 397 0.6× 688 1.2× 125 9.7k
Naomi Altman United States 59 2.3k 1.1× 924 1.2× 655 1.0× 689 1.0× 427 0.8× 153 14.9k
Sotiris Kotsiantis Greece 32 4.9k 2.3× 976 1.2× 758 1.1× 438 0.7× 439 0.8× 185 11.3k
Davide Chicco Canada 22 2.5k 1.2× 642 0.8× 652 0.9× 560 0.8× 291 0.5× 70 9.5k
David W. Scott United States 35 2.3k 1.1× 1.0k 1.3× 379 0.6× 492 0.7× 625 1.1× 90 8.8k
David S. Stoffer United States 31 1.3k 0.6× 345 0.4× 463 0.7× 520 0.8× 729 1.3× 67 7.7k
Guolin Ke China 13 2.5k 1.2× 708 0.9× 805 1.2× 624 0.9× 519 0.9× 22 8.0k

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-authorship network of co-authors of Zigang Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Zigang Lu. A scholar is included among the top collaborators of Zigang Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zigang Lu. Zigang Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Xu, Minrui, et al.. (2023). Research on data anomaly discrimination method for multi-station fusion measurement system. 43. 1111–1116. 1 indexed citations
2.
Lu, Zigang, Zhixin Li, Shufeng Lu, Minrui Xu, & Weixin Liu. (2022). Fault Mechanism Analysis of Voltage Transformer Caused By Iron Core Saturation. 2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ). 856–859. 2 indexed citations
4.
Mensch, Amy, et al.. (2021). Sensors and Machine Learning Models to Prevent Cooktop Ignition and Ignore Normal Cooking. Fire Technology. 57(6). 2981–3004. 4 indexed citations
5.
Chen, Gang, Xiang Liu, Minrui Xu, Zigang Lu, & Jiahao Guo. (2020). Reliability Probability Evaluation Method of Electronic transformer based on Xgboost model. 1–5. 1 indexed citations
6.
Lu, Zigang, et al.. (2020). A robust stochastic stability analysis approach for power system considering wind speed prediction error based on Markov model. Computer Standards & Interfaces. 75. 103503–103503. 5 indexed citations
8.
Lu, Zigang, Zhinong Wei, & Yonghui Sun. (2018). Power system dynamic state estimation considering correlation of measurement error from PMU and SCADA. Concurrency and Computation Practice and Experience. 31(10). 3 indexed citations
9.
Li, Zhixin, et al.. (2018). A Classified Identification Deep-Belief Network for Predicting Electric-Power Load. 1–6. 5 indexed citations
10.
He, Sheng, et al.. (2018). Short-term Power Load Probability Density Forecasting Based on PCA-QRF. 1–5. 2 indexed citations
11.
13.
Lu, Zigang, et al.. (2016). Application of extended fractional Kalman filter to power system dynamic state estimation. 6. 1923–1927. 3 indexed citations
14.
Wu, Xiaopeng, et al.. (2015). A modified Kalman filter algorithm for fractional system under Lévy noises. Journal of the Franklin Institute. 352(5). 1963–1978. 31 indexed citations
15.
Yang, Xiong, Zhinong Wei, Guoqiang Sun, et al.. (2013). Power flow calculation for unbalanced three-phase distribution network with DGs based on phase-sequence hybrid modeling. 16. 1–6. 7 indexed citations
16.
Lu, Zigang. (2010). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Journal of the Royal Statistical Society Series A (Statistics in Society). 173(3). 693–694. 8668 indexed citations breakdown →
17.
Lu, Zigang, Nathan D. Lowhorn, W. Wong‐Ng, et al.. (2009). Statistical Analysis of a Round-Robin Measurement Survey of Two Candidate Materials for a Seebeck Coefficient Standard Reference Material. Journal of Research of the National Institute of Standards and Technology. 114(1). 37–37. 20 indexed citations

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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