Junfeng Lu

2.4k total citations
80 papers, 1.6k citations indexed

About

Junfeng Lu is a scholar working on Cognitive Neuroscience, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Junfeng Lu has authored 80 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Cognitive Neuroscience, 25 papers in Genetics and 25 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Junfeng Lu's work include Glioma Diagnosis and Treatment (25 papers), Functional Brain Connectivity Studies (12 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). Junfeng Lu is often cited by papers focused on Glioma Diagnosis and Treatment (25 papers), Functional Brain Connectivity Studies (12 papers) and Advanced Neuroimaging Techniques and Applications (12 papers). Junfeng Lu collaborates with scholars based in China, United States and Hong Kong. Junfeng Lu's co-authors include Jinsong Wu, Dinggang Shen, Rongbiao Pi, Zhengda Yu, Dongxiao Zhuang, Liangfu Zhou, Qian Wang, Chengjun Yao, Qiuhe Chen and Ying Mao and has published in prestigious journals such as Nature, The Lancet and Nature Communications.

In The Last Decade

Junfeng Lu

74 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junfeng Lu China 24 579 420 402 200 177 80 1.6k
Manuel Gómez-Río Spain 19 264 0.5× 73 0.2× 181 0.5× 149 0.7× 137 0.8× 56 1.2k
Joseph Geraci United States 19 459 0.8× 75 0.2× 414 1.0× 74 0.4× 99 0.6× 72 1.7k
Junko Takahashi Japan 20 416 0.7× 73 0.2× 216 0.5× 61 0.3× 211 1.2× 62 1.9k
Lina Zhang China 22 525 0.9× 40 0.1× 167 0.4× 86 0.4× 113 0.6× 85 1.4k
Zhigang Qi China 23 612 1.1× 80 0.2× 936 2.3× 214 1.1× 21 0.1× 54 2.0k
Hiroki Sugihara Japan 24 543 0.9× 46 0.1× 597 1.5× 86 0.4× 51 0.3× 157 2.4k
Yishan Luo China 23 270 0.5× 45 0.1× 207 0.5× 106 0.5× 44 0.2× 85 1.5k
Yoshihiro Murata Japan 19 388 0.7× 48 0.1× 128 0.3× 291 1.5× 35 0.2× 76 1.7k
Yihui Guan China 27 516 0.9× 128 0.3× 311 0.8× 157 0.8× 14 0.1× 152 2.2k

Countries citing papers authored by Junfeng Lu

Since Specialization
Citations

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

Fields of papers citing papers by Junfeng Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junfeng Lu

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

All Works

20 of 20 papers shown
1.
Pi, Xiaodong, et al.. (2025). Computer-aided ionic liquid design for green chemical processes based on molecular simulation and artificial intelligence. Separation and Purification Technology. 361. 131585–131585. 2 indexed citations
2.
Wang, Rongrong, Junfeng Lu, Wenjia Guo, et al.. (2025). High-performance moisture-driven power generators based on in-situ confined polymerized ionic liquid membranes. Green Energy & Environment. 10(12). 2453–2460. 2 indexed citations
3.
Wang, Zhenjie, et al.. (2025). Protocol to perform offline ECoG brain-to-text decoding for natural tonal sentences. STAR Protocols. 6(1). 103650–103650. 1 indexed citations
4.
Bhaya-Grossman, Ilina, Matthew K. Leonard, Yizhen Zhang, et al.. (2025). Shared and language-specific phonological processing in the human temporal lobe. Nature. 649(8095). 140–151.
5.
Liu, Xi, Hong Chen, Shuai Wu, et al.. (2025). A Multicenter Study on Intraoperative Glioma Grading via Deep Learning on Cryosection Pathology. Modern Pathology. 38(7). 100749–100749.
6.
7.
Wang, Zhenjie, Yan Liu, Xiaotao Hao, et al.. (2024). A brain-to-text framework for decoding natural tonal sentences. Cell Reports. 43(11). 114924–114924. 6 indexed citations
8.
Lu, Junfeng, Yuanning Li, Yan Liu, et al.. (2023). Neural control of lexical tone production in human laryngeal motor cortex. Nature Communications. 14(1). 6917–6917. 10 indexed citations
9.
10.
Lu, Junfeng, Shuyi Wang, Yang Yang, et al.. (2022). Acrolein, an endogenous aldehyde induces synaptic dysfunction in vitro and in vivo: Involvement of RhoA/ROCK2 pathway. Aging Cell. 21(4). e13587–e13587. 21 indexed citations
11.
Xu, Min, Junfeng Lu, Jianhua Hu, et al.. (2022). Distinct spatiotemporal patterns of syntactic and semantic processing in human inferior frontal gyrus. Nature Human Behaviour. 6(8). 1104–1111. 25 indexed citations
12.
Lu, Junfeng, et al.. (2021). Intraoperative Cognitive Mapping Tasks for Direct Electrical Stimulation in Clinical and Neuroscientific Contexts. Frontiers in Human Neuroscience. 15. 612891–612891. 6 indexed citations
13.
Pasieka, Anna, Dawid Panek, Jakub Jończyk, et al.. (2021). Discovery of multifunctional anti-Alzheimer’s agents with a unique mechanism of action including inhibition of the enzyme butyrylcholinesterase and γ-aminobutyric acid transporters. European Journal of Medicinal Chemistry. 218. 113397–113397. 16 indexed citations
14.
Wang, Peng, N. U. Farrukh Hameed, Lei Jin, et al.. (2021). Clinical applications of neurolinguistics in neurosurgery. Frontiers of Medicine. 15(4). 562–574. 3 indexed citations
15.
Tang, Zhenyu, Yuyun Xu, Lei Jin, et al.. (2020). Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients. IEEE Transactions on Medical Imaging. 39(6). 2100–2109. 67 indexed citations
16.
Chen, Qiuhe, Yalin Tu, Shinghung Mak, et al.. (2020). Discovery of a novel small molecule PT109 with multi-targeted effects against Alzheimer's disease in vitro and in vivo. European Journal of Pharmacology. 883. 173361–173361. 9 indexed citations
17.
Tang, Zhenyu, Yuyun Xu, Zhicheng Jiao, et al.. (2019). Pre-operative Overall Survival Time Prediction for Glioblastoma Patients Using Deep Learning on Both Imaging Phenotype and Genotype. Lecture notes in computer science. 11764. 415–422. 5 indexed citations
18.
Guo, Junjie, et al.. (2018). Research of omnidirectional measurement method to detect the errors of multi‐axis numerical control machine tool based on laser tracker. IET Science Measurement & Technology. 12(3). 418–425. 2 indexed citations
19.
Zhang, Xiao, Xixin He, Qiuhe Chen, et al.. (2017). A review on the hybrids of hydroxycinnamic acid as multi-target-directed ligands against Alzheimer’s disease. Bioorganic & Medicinal Chemistry. 26(3). 543–550. 70 indexed citations
20.
Qiu, Tianming, Chao‐Gan Yan, Weijun Tang, et al.. (2014). Localizing hand motor area using resting-state fMRI: validated with direct cortical stimulation. Acta Neurochirurgica. 156(12). 2295–2302. 40 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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