Lu Fang

20.6k citations
122 papers · 2.5k indexed · 2 hit papers · h-index 26
Topics
Neural Networks and Reservoir Computing (17 papers)Photonic and Optical Devices (16 papers)Optical Network Technologies (13 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Lu Fang

116 papers receiving 2.3k citations

Hit Papers

All-analog photoelectronic chip for high-speed vision tasks2023202620242025202320244080120

Peers

Lu Fang
Comparison fields: 5 of 174
  • Electrical and Electronic Engineering 873
  • Artificial Intelligence 824
  • Biomedical Engineering 289
  • Atomic and Molecular Physics, and Optics 200
  • Molecular Biology 171
Replace Yide Zhang with:
Yide Zhang China
Hui Hui China
Che Liu China
Atsushi Uchida Japan
Bin Luo China
Haoqian Wang China
Zhiwei Xiong China
Zhaohui Li China
Xin Zhou China
Inkyu Moon South Korea
Lu Fang relative to Yide Zhang China Yide Zhang's profile →
Citations per field
00.5×6.5×
Yide Zhang · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 2
6 6
7
Large-scale photonic chiplet Taichi empowers 160-TOPS/W artificial general intelligencebreakdown →
108
8 48
9 1
10 24
11 6
12 31
13 46
14 151
15 18
16 26
17
Cognitive function and 3-year mortality in the very elderly Chinese population with chronic kidney disease
1
18
PTX3 expression in the plasma of elderly ACI patients and its relationship with severity and prognosis of the disease.
5
19
Feature Fusion for Storefront Recognition and Indoor Navigation
1
20
Study on the master of nursing specialist construction in China
1

About Lu Fang

Lu Fang is a scholar working on Acoustics and Ultrasonics, Instrumentation and Biophysics, having authored 122 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (17 papers), Photonic and Optical Devices (16 papers) and Optical Network Technologies (13 papers). The work is most often cited by research in Acoustics and Ultrasonics (101 citations), Instrumentation (101 citations) and Biophysics (168 citations). Lu Fang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qionghai Dai, Jiamin Wu, Tiankuang Zhou, Jingtao Fan, Xing Lin, Tao Yan, Hao Xie, Hui Qiao, Xiaoyun Yuan and Feng Xu. Their work appears in journals such as Nature, Science and Physical Review Letters.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026