Lu Fang

20.6k total citations · 2 hit papers
122 papers, 2.5k citations indexed

About

Lu Fang is a scholar working on Electrical and Electronic Engineering, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Lu Fang has authored 122 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Electrical and Electronic Engineering, 20 papers in Epidemiology and 18 papers in Artificial Intelligence. Recurrent topics in Lu Fang's work include Neural Networks and Reservoir Computing (17 papers), Photonic and Optical Devices (16 papers) and Optical Network Technologies (13 papers). Lu Fang is often cited by papers focused on Neural Networks and Reservoir Computing (17 papers), Photonic and Optical Devices (16 papers) and Optical Network Technologies (13 papers). Lu Fang collaborates with scholars based in China, United States and Taiwan. Lu Fang's co-authors include Qionghai Dai, Jiamin Wu, Tiankuang Zhou, Jingtao Fan, Xing Lin, Tao Yan, Hao Xie, Hui Qiao, Xiaoyun Yuan and Feng Xu and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Lu Fang

116 papers receiving 2.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

All-analog photoelectronic chip for high-speed vision tasks

2023 143 citations Tiankuang Zhou, Jingtao Fan et al. Nature profile →
Large-scale photonic chiplet Taichi empowers 160-TOPS/W artificial general intelligence

2024 108 citations Tiankuang Zhou, Chenchen Deng et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lu Fang China	26	873	824	289	200	171	122	2.5k
Shuqiang Wang China	35	452 0.5×	690 0.8×	362 1.3×	40 0.2×	283 1.7×	221	3.7k
Yu Gan United States	20	451 0.5×	120 0.1×	545 1.9×	83 0.4×	125 0.7×	96	1.6k
Che Liu China	33	1.3k 1.5×	420 0.5×	772 2.7×	430 2.1×	634 3.7×	127	4.6k
Yide Zhang China	19	285 0.3×	127 0.2×	337 1.2×	123 0.6×	124 0.7×	101	1.4k
Pranab Kumar Dutta India	25	369 0.4×	389 0.5×	487 1.7×	125 0.6×	235 1.4×	130	2.5k
Xiao Han China	25	236 0.3×	738 0.9×	200 0.7×	34 0.2×	185 1.1×	145	1.9k
Jianyu Wang China	23	323 0.4×	1.1k 1.4×	194 0.7×	99 0.5×	322 1.9×	155	2.6k
Raed M. Shubair United Arab Emirates	28	2.2k 2.6×	229 0.3×	900 3.1×	137 0.7×	144 0.8×	235	3.2k
M. Iqbal Saripan Malaysia	30	261 0.3×	712 0.9×	381 1.3×	107 0.5×	114 0.7×	176	3.2k
Yongming Li China	29	291 0.3×	964 1.2×	254 0.9×	19 0.1×	154 0.9×	220	2.8k

Countries citing papers authored by Lu Fang

Since Specialization

Citations

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

Fields of papers citing papers by Lu Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Fang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Wang, Yuling, Lingbo Li, Jing He, et al.. (2025). Prominent involvement of acetylcholine dynamics in stable olfactory representation across the Drosophila brain. Nature Communications. 16(1). 8638–8638.

Zhou, Tiankuang, et al.. (2025). Reliable, efficient, and scalable photonic inverse design empowered by physics‐inspired deep learning. Nanophotonics. 14(16). 2799–2810. 1 indexed citations

Sun, Ning, Yurong Cheng, Wantong Zhang, et al.. (2025). Hemoglobin glycation index and mortality risk in metabolic dysfunction-associated steatotic liver disease patients: a novel U-shaped association. Scientific Reports. 15(1). 1465–1465. 1 indexed citations

Liu, Jiaxin, Yuchen Guo, Lu Fang, & Qionghai Dai. (2025). Hitchlearning: a general free-lunch paradigm for single-image enhancement by unifying inference and training. 1(1). 1 indexed citations

Fang, Lu, et al.. (2024). Induction of insulin resistance in female mice due to prolonged phenanthrene exposure: Unveiling the low-dose effect and potential mechanisms. Environmental Research. 260. 119597–119597. 2 indexed citations

Xue, Zhiwei, et al.. (2024). Fully forward mode training for optical neural networks. Nature. 632(8024). 280–286. 48 indexed citations

Fang, Lu, Changjie Liu, Zongzhe Jiang, et al.. (2024). Annexin A1 binds PDZ and LIM domain 7 to inhibit adipogenesis and prevent obesity. Signal Transduction and Targeted Therapy. 9(1). 218–218. 6 indexed citations

Zhou, Tiankuang, et al.. (2024). Large-scale photonic chiplet Taichi empowers 160-TOPS/W artificial general intelligence. Science. 384(6692). 202–209. 108 indexed citations breakdown →

Zhang, Yuanlong, Guoxun Zhang, Xiaofei Han, et al.. (2023). Rapid detection of neurons in widefield calcium imaging datasets after training with synthetic data. Nature Methods. 20(5). 747–754. 24 indexed citations

10.

Xin, Xin, Qinmei Sun, Sheng Lv, et al.. (2023). Effectiveness and safety analysis of Danggui Shaoyao Powder for the treatment of non-alcoholic fatty liver disease: study protocol for a randomized, double-blind, placebo-controlled clinical trial. BMC Complementary Medicine and Therapies. 23(1). 126–126. 6 indexed citations

11.

Duan, Suyan, Meng Zhou, Lu Fang, et al.. (2023). Triglyceride-glucose index is associated with the risk of chronic kidney disease progression in type 2 diabetes. Endocrine. 81(1). 77–89. 11 indexed citations

12.

Zhou, Tiankuang, et al.. (2023). Ultrafast dynamic machine vision with spatiotemporal photonic computing. Science Advances. 9(23). eadg4391–eadg4391. 31 indexed citations

13.

Zhang, Anke, Yue Deng, Feihu Xu, et al.. (2021). Dynamic non-line-of-sight imaging system based on the optimization of point spread functions. Optics Express. 29(20). 32349–32349. 46 indexed citations

14.

Ji, Mengqi, Rongpin Wang, Xinfeng Liu, et al.. (2020). A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics. Patterns. 1(6). 100092–100092. 18 indexed citations

15.

Zhou, Tiankuang, Lu Fang, Tao Yan, et al.. (2020). In situ optical backpropagation training of diffractive optical neural networks. Photonics Research. 8(6). 940–940. 151 indexed citations

16.

Zhang, Xinyun, Yan Dong, Long Wen, Lu Fang, & Wei Li. (2019). Remaining Useful Life Estimation Based on a New Convolutional and Recurrent Neural Network. 317–322. 26 indexed citations

17.

Bai, Kun, Pan Y, Lu Fang, et al.. (2018). Cognitive function and 3-year mortality in the very elderly Chinese population with chronic kidney disease. SHILAP Revista de lepidopterología. 1 indexed citations

18.

Li, Wei, et al.. (2016). PTX3 expression in the plasma of elderly ACI patients and its relationship with severity and prognosis of the disease.. PubMed. 20(19). 4112–4118. 5 indexed citations

19.

Zhou, Guyue, et al.. (2016). Feature Fusion for Storefront Recognition and Indoor Navigation. arXiv (Cornell University). 1 indexed citations

20.

Fang, Lu. (2011). Study on the master of nursing specialist construction in China. 1 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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