Lufei Zhao

573 total citations
11 papers, 424 citations indexed

About

Lufei Zhao is a scholar working on Plant Science, Computer Networks and Communications and Molecular Biology. According to data from OpenAlex, Lufei Zhao has authored 11 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 2 papers in Computer Networks and Communications and 2 papers in Molecular Biology. Recurrent topics in Lufei Zhao's work include Plant Molecular Biology Research (7 papers), Plant nutrient uptake and metabolism (7 papers) and Machine Learning in Bioinformatics (2 papers). Lufei Zhao is often cited by papers focused on Plant Molecular Biology Research (7 papers), Plant nutrient uptake and metabolism (7 papers) and Machine Learning in Bioinformatics (2 papers). Lufei Zhao collaborates with scholars based in China, United States and United Kingdom. Lufei Zhao's co-authors include Yong Wang, Nigel M. Crawford, Fei Liu, Na Xu, Rongchen Wang, Chengfei Zhang, Zehui Li, Lei Zhao, Peizhu Guan and Zhaohui Chu and has published in prestigious journals such as The Plant Cell, Scientific Reports and New Phytologist.

In The Last Decade

Lufei Zhao

10 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lufei Zhao China 7 364 90 46 22 22 11 424
Marcel Pascal Beier Japan 11 281 0.8× 101 1.1× 11 0.2× 12 0.5× 18 0.8× 15 332
Virginie Bréhaut France 4 770 2.1× 136 1.5× 90 2.0× 47 2.1× 29 1.3× 6 795
Olivier Leleu France 6 378 1.0× 94 1.0× 61 1.3× 26 1.2× 10 0.5× 6 416
Dominique Loqué Germany 4 516 1.4× 184 2.0× 38 0.8× 22 1.0× 26 1.2× 5 580
Franck Chopin France 5 607 1.7× 76 0.8× 126 2.7× 30 1.4× 19 0.9× 5 630
Mélanie Noguero France 6 378 1.0× 175 1.9× 20 0.4× 23 1.0× 11 0.5× 8 406
Yuanming Xie China 11 289 0.8× 102 1.1× 11 0.2× 9 0.4× 11 0.5× 19 340
Marie-France Dorbe France 7 319 0.9× 85 0.9× 47 1.0× 13 0.6× 24 1.1× 10 356
Alaeddine Safi Belgium 8 465 1.3× 126 1.4× 22 0.5× 26 1.2× 15 0.7× 12 499
Zorica Kotur Canada 7 432 1.2× 38 0.4× 85 1.8× 19 0.9× 13 0.6× 9 450

Countries citing papers authored by Lufei Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Lufei Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lufei Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Lufei Zhao. A scholar is included among the top collaborators of Lufei Zhao 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 Lufei Zhao. Lufei Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Zhao, Lufei, et al.. (2025). Combining knowledge distillation and neural networks to predict protein secondary structure. Scientific Reports. 15(1). 32031–32031.
2.
Zhang, Tiancheng, Hong‐Bin Fang, Yongwei Gong, et al.. (2025). Evaluation of natural l‐phenylalanine‐derived Amidohydrazide derivatives in ensuring agriculture production against phytopathogenic fungi. Pest Management Science. 81(9). 5030–5042. 1 indexed citations
3.
Xu, Na, et al.. (2024). Functional analyses of the NRT2 family of nitrate transporters in Arabidopsis. Frontiers in Plant Science. 15. 1351998–1351998. 14 indexed citations
4.
Zhao, Lufei, et al.. (2024). Prediction of protein secondary structure by the improved TCN-BiLSTM-MHA model with knowledge distillation. Scientific Reports. 14(1). 16488–16488. 5 indexed citations
5.
Li, Na, Qing Ye, Yuhan Ma, et al.. (2023). The Arabidopsis eIF4E1 regulates NRT1.1‐mediated nitrate signaling at both translational and transcriptional levels. New Phytologist. 240(1). 338–353. 6 indexed citations
6.
Zhao, Lufei, et al.. (2023). Prediction of soil moisture using BiGRU-LSTM model with STL decomposition in Qinghai–Tibet Plateau. PeerJ. 11. e15851–e15851. 5 indexed citations
7.
Zhao, Lufei, Wenjing Zhang, Zehui Li, et al.. (2018). The Arabidopsis NLP7 gene regulates nitrate signaling via NRT1.1–dependent pathway in the presence of ammonium. Scientific Reports. 8(1). 1487–1487. 58 indexed citations
8.
Zhao, Lufei, Fei Liu, Nigel M. Crawford, & Yong Wang. (2018). Molecular Regulation of Nitrate Responses in Plants. International Journal of Molecular Sciences. 19(7). 2039–2039. 65 indexed citations
9.
Zhao, Lufei & Yong Wang. (2017). Nitrate Assay for Plant Tissues. BIO-PROTOCOL. 7(2). e2029–e2029. 56 indexed citations
10.
Li, Zehui, Rongchen Wang, Yangyang Gao, et al.. (2017). The Arabidopsis CPSF30‐L gene plays an essential role in nitrate signaling and regulates the nitrate transceptor gene NRT1.1. New Phytologist. 216(4). 1205–1222. 61 indexed citations
11.
Xu, Na, Rongchen Wang, Lufei Zhao, et al.. (2016). The Arabidopsis NRG2 Protein Mediates Nitrate Signaling and Interacts with and Regulates Key Nitrate Regulators. The Plant Cell. 28(2). 485–504. 153 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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