Cong Hao

2.6k total citations
79 papers, 832 citations indexed

About

Cong Hao is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cong Hao has authored 79 papers receiving a total of 832 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Electrical and Electronic Engineering, 27 papers in Hardware and Architecture and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cong Hao's work include Advanced Neural Network Applications (21 papers), Parallel Computing and Optimization Techniques (19 papers) and VLSI and FPGA Design Techniques (18 papers). Cong Hao is often cited by papers focused on Advanced Neural Network Applications (21 papers), Parallel Computing and Optimization Techniques (19 papers) and VLSI and FPGA Design Techniques (18 papers). Cong Hao collaborates with scholars based in United States, China and Japan. Cong Hao's co-authors include Deming Chen, Xiaofan Zhang, Nan Wu, Yao Chen, Jinjun Xiong, Yuan Xie, Wen‐mei Hwu, Takeshi Yoshimura, Deming Chen and Kyle Rupnow and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Electron Devices and Sustainability.

In The Last Decade

Cong Hao

74 papers receiving 818 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Hao United States 16 392 297 220 219 146 79 832
P. P. Chakrabarti India 16 271 0.7× 154 0.5× 225 1.0× 227 1.0× 166 1.1× 130 932
Haichen Shen United States 13 337 0.9× 694 2.3× 379 1.7× 260 1.2× 512 3.5× 20 1.3k
Sorin A. Huss Germany 14 284 0.7× 136 0.5× 324 1.5× 351 1.6× 139 1.0× 132 848
Guido Marchetto Italy 18 253 0.6× 100 0.3× 198 0.9× 80 0.4× 705 4.8× 99 982
Juan Fang China 16 278 0.7× 103 0.3× 120 0.5× 273 1.2× 606 4.2× 143 923
Long Zheng China 16 189 0.5× 293 1.0× 254 1.2× 283 1.3× 388 2.7× 114 822
Farouk Kamoun Tunisia 18 524 1.3× 123 0.4× 161 0.7× 97 0.4× 1.2k 8.2× 93 1.5k
Venkatesh Akella United States 26 1.5k 3.9× 189 0.6× 237 1.1× 313 1.4× 741 5.1× 122 2.0k
Zhifeng Chen China 18 219 0.6× 340 1.1× 83 0.4× 245 1.1× 782 5.4× 63 1.3k
Jingling Yuan China 15 101 0.3× 150 0.5× 184 0.8× 51 0.2× 208 1.4× 102 671

Countries citing papers authored by Cong Hao

Since Specialization
Citations

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

Fields of papers citing papers by Cong Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Hao. A scholar is included among the top collaborators of Cong Hao 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 Hao. Cong Hao 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
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Li, Hai, et al.. (2025). Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 45(3). 1352–1365.
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Hu, Ying, et al.. (2025). Research on reliability prediction methods for aircraft nacelle systems based on FMEA and FTA. Journal of Physics Conference Series. 2951(1). 12012–12012.
5.
Zhang, Yongan, Xiaofan Zhang, Pengfei Xu, et al.. (2024). AutoAI2C: An Automated Hardware Generator for DNN Acceleration on Both FPGA and ASIC. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(10). 3143–3156. 3 indexed citations
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Wu, Nan, et al.. (2024). Survey of Machine Learning for Software-assisted Hardware Design Verification: Past, Present, and Prospect. ACM Transactions on Design Automation of Electronic Systems. 29(4). 1–42. 4 indexed citations
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Rizvi, Ali A., et al.. (2024). Evaluating Large Language Models for High-Level Synthesis. 49–52. 2 indexed citations
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Li, Mufei, Zhongyuan Zhao, J. Duarte, et al.. (2024). Opportunities and challenges of graph neural networks in electrical engineering. 1(8). 529–546. 5 indexed citations
13.
Jiang, Wei, et al.. (2023). A New Hybrid Decision-Making Model for Promoting Sustainable Social Rental Housing. Sustainability. 15(8). 6420–6420. 9 indexed citations
14.
Hao, Cong, et al.. (2023). Reliability prediction and evaluation of communication base stations in earthquake prone areas. Scientific Reports. 13(1). 8981–8981. 1 indexed citations
15.
Perez-Villa, Bernardo, et al.. (2023). Cask HLS: A Better Development Tool for Vitis HLS. 20–23.
16.
Hao, Cong, et al.. (2023). Hardware/Software Co-design for Machine Learning Accelerators. abs 2201 8475. 233–235. 1 indexed citations
17.
Zhang, Xiaofan, Cong Hao, Jiachen Li, et al.. (2020). SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. arXiv (Cornell University). 2. 216–229. 11 indexed citations
18.
Hao, Cong, Yao Chen, Xiaofan Zhang, et al.. (2020). Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices. 283–290. 4 indexed citations
19.
Zhang, Dafeng, et al.. (2016). Effect of Evodiamine on CYP Enzymes in Rats by a Cocktail Method. Pharmacology. 97(5-6). 218–223. 14 indexed citations
20.
Hao, Cong & Takeshi Yoshimura. (2016). Economical smart home scheduling for single and multiple users. 1–4. 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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