Cong Fang

2.1k total citations · 1 hit paper
47 papers, 1.4k citations indexed

About

Cong Fang is a scholar working on Artificial Intelligence, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, Cong Fang has authored 47 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 10 papers in Computational Mechanics and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Cong Fang's work include Stochastic Gradient Optimization Techniques (12 papers), Sparse and Compressive Sensing Techniques (10 papers) and Machine Learning and ELM (6 papers). Cong Fang is often cited by papers focused on Stochastic Gradient Optimization Techniques (12 papers), Sparse and Compressive Sensing Techniques (10 papers) and Machine Learning and ELM (6 papers). Cong Fang collaborates with scholars based in China, United States and Hong Kong. Cong Fang's co-authors include Yang Xia, Jun Zhang, Chu Liang, Chengbin Jin, Ouwei Sheng, Wenkui Zhang, Yongping Gan, Jianmin Luo, Zhouchen Lin and Xinyong Tao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

Cong Fang

42 papers receiving 1.3k citations

Hit Papers

3D lithium metal embedded within lithiophilic porous matr... 2017 2026 2020 2023 2017 100 200 300 400
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.

  1. 3D lithium metal embedded within lithiophilic porous matrix for stable lithium metal batteries
    2017 463 citations Chengbin Jin, Ouwei Sheng et al. Nano Energy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Fang China 16 942 377 266 213 170 47 1.4k
Desheng Li China 21 755 0.8× 234 0.6× 70 0.3× 222 1.0× 22 0.1× 114 1.3k
Jufeng Wang China 24 516 0.5× 155 0.4× 97 0.4× 234 1.1× 17 0.1× 66 1.8k
Jinxin Wang China 9 847 0.9× 289 0.8× 245 0.9× 60 0.3× 66 0.4× 36 1.1k
Lingzhi Zhu China 20 884 0.9× 155 0.4× 99 0.4× 180 0.8× 112 0.7× 135 1.3k
Hao Liu China 22 1.2k 1.2× 99 0.3× 166 0.6× 37 0.2× 105 0.6× 154 1.4k
Xinhua Zhang China 16 121 0.1× 62 0.2× 114 0.4× 55 0.3× 144 0.8× 86 980
Chunyan Li China 21 1.1k 1.2× 414 1.1× 152 0.6× 110 0.5× 46 0.3× 108 1.5k
Xiaohua Li China 20 1.3k 1.4× 91 0.2× 163 0.6× 96 0.5× 99 0.6× 112 1.5k

Countries citing papers authored by Cong Fang

Since Specialization
Citations

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

Fields of papers citing papers by Cong Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Fang. A scholar is included among the top collaborators of Cong 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 Cong Fang. Cong 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
1.
Fang, Cong, et al.. (2025). A real-world pharmacovigilance study of lorazepam based on the FDA adverse event reporting system database. Scientific Reports. 15(1). 20272–20272. 1 indexed citations
2.
3.
Fang, Cong, et al.. (2025). Causality pursuit from heterogeneous environments via neural adversarial invariance learning. The Annals of Statistics. 53(5).
4.
Fang, Cong, et al.. (2025). Hessian-Aware Zeroth-Order Optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(6). 4869–4877.
5.
Xie, Xina, et al.. (2024). Antibacterial and UV resistant functions of cotton fabrics: In-situ free radical polymerization of AgNPs using Baicalin. Industrial Crops and Products. 222. 119818–119818. 3 indexed citations
6.
Li, Suwen, Cong Fang, Donghui Zhang, et al.. (2024). Evaluation of VOC emission and flexural properties of jute fiber reinforced waterborne acrylic resin composites: The impact mechanism of hydrothermal aging. Industrial Crops and Products. 222. 119969–119969. 2 indexed citations
7.
Lin, Zhouchen, Huan Li, & Cong Fang. (2022). Alternating Direction Method of Multipliers for Machine Learning. 16 indexed citations
8.
Fang, Cong, et al.. (2021). Mathematical Models of Overparameterized Neural Networks. Proceedings of the IEEE. 109(5). 683–703. 10 indexed citations
9.
Zhang, Weizhong, et al.. (2020). How to Characterize The Landscape of Overparameterized Convolutional Neural Networks. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 33. 3797–3807. 1 indexed citations
10.
Lin, Zhouchen, Huan Li, & Cong Fang. (2020). Accelerated Optimization for Machine Learning: First-Order Algorithms. 9 indexed citations
11.
Fang, Cong, Zhouchen Lin, & Tong Zhang. (2019). Sharp Analysis for Nonconvex SGD Escaping from Saddle Points.. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1192–1234. 7 indexed citations
12.
Fang, Cong, Chris Junchi Li, Zhouchen Lin, & Tong Zhang. (2018). SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 31. 689–699. 47 indexed citations
13.
Li, Huan, Cong Fang, Wotao Yin, & Zhouchen Lin. (2018). A Sharp Convergence Rate Analysis for Distributed Accelerated Gradient Methods. arXiv (Cornell University). 6 indexed citations
14.
Fang, Cong, Jianmin Luo, Chengbin Jin, et al.. (2018). Enhancing Catalyzed Decomposition of Na2CO3 with Co2MnOx Nanowire-Decorated Carbon Fibers for Advanced Na–CO2 Batteries. ACS Applied Materials & Interfaces. 10(20). 17240–17248. 51 indexed citations
15.
Fang, Cong, et al.. (2017). Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers. Neural Information Processing Systems. 30. 4476–4485. 4 indexed citations
16.
17.
Jin, Chengbin, Ouwei Sheng, Jianmin Luo, et al.. (2017). 3D lithium metal embedded within lithiophilic porous matrix for stable lithium metal batteries. Nano Energy. 37. 177–186. 463 indexed citations breakdown →
18.
Zhou, Pan, Cong Fang, Zhouchen Lin, Chao Zhang, & Edward Yi Chang. (2017). Dictionary learning with structured noise. Neurocomputing. 273. 414–423. 21 indexed citations
19.
Gan, Yongping, Jianmin Luo, Huadong Yuan, et al.. (2016). One-pot Biotemplate Synthesis of FeS 2 Decorated Sulfur-doped Carbon Fiber as High Capacity Anode for Lithium-ion Batteries. Electrochimica Acta. 209. 201–209. 63 indexed citations
20.
Fang, Cong. (2002). Synthesis and Characterization of Two Positional Isomeric Tetraamino-phthalocyanines Zinc(II). Chemical Research in Chinese Universities. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Desheng Li Breakdown of academic impact, for papers by Jufeng Wang Breakdown of academic impact, for papers by Jinxin Wang Breakdown of academic impact, for papers by Lingzhi Zhu Breakdown of academic impact, for papers by Hao Liu Breakdown of academic impact, for papers by Xinhua Zhang Breakdown of academic impact, for papers by Chunyan Li Breakdown of academic impact, for papers by Xiaohua Li
Rankless by CCL
2026