Cong Fu

1.2k total citations
31 papers, 618 citations indexed

About

Cong Fu is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computer Vision and Pattern Recognition. According to data from OpenAlex, Cong Fu has authored 31 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Networks and Communications, 13 papers in Hardware and Architecture and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Cong Fu's work include Parallel Computing and Optimization Techniques (13 papers), Distributed and Parallel Computing Systems (11 papers) and Interconnection Networks and Systems (6 papers). Cong Fu is often cited by papers focused on Parallel Computing and Optimization Techniques (13 papers), Distributed and Parallel Computing Systems (11 papers) and Interconnection Networks and Systems (6 papers). Cong Fu collaborates with scholars based in China, United States and Ireland. Cong Fu's co-authors include Deng Cai, Changxu Wang, Chao Xiang, Tao Yang, Cheng Zhao, Chenliang Li, Xiaofei He, Wenxiao Wang, Xiang Ren and Tao Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Optics Letters and Physics Letters A.

In The Last Decade

Cong Fu

30 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cong Fu China	13	291	278	138	125	122	31	618
Cheng Fu United States	9	339 1.2×	122 0.4×	40 0.3×	82 0.7×	49 0.4×	21	487
Claudia Feregrino-Uribe Mexico	14	310 1.1×	282 1.0×	94 0.7×	99 0.8×	186 1.5×	80	618
Ellick Chan United States	10	211 0.7×	88 0.3×	160 1.2×	136 1.1×	165 1.4×	22	404
Zhijia Zhao United States	12	208 0.7×	174 0.6×	239 1.7×	40 0.3×	107 0.9×	43	498
S. Kannan United States	10	339 1.2×	86 0.3×	115 0.8×	44 0.4×	122 1.0×	33	518
Shangwei Guo China	16	395 1.4×	294 1.1×	64 0.5×	85 0.7×	105 0.9×	54	687
Svein J. Knapskog Norway	15	200 0.7×	52 0.2×	243 1.8×	102 0.8×	218 1.8×	45	460
Verónica Gil-Costa Argentina	10	103 0.4×	89 0.3×	191 1.4×	100 0.8×	109 0.9×	71	354
Renaud Sirdey France	13	346 1.2×	79 0.3×	106 0.8×	36 0.3×	119 1.0×	56	583
Yu Yu China	10	253 0.9×	73 0.3×	50 0.4×	44 0.4×	94 0.8×	47	361

Countries citing papers authored by Cong Fu

Since Specialization

Citations

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

Fields of papers citing papers by Cong Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Cong Fu. A scholar is included among the top collaborators of Cong Fu 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 Fu. Cong Fu 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

Xu, Yanqing, et al.. (2024). Evaluation of green space influence on housing prices using machine learning and urban visual intelligence. Cities. 158. 105661–105661. 6 indexed citations

Cui, Xiaofeng, Xueting Wang, Cong Fu, et al.. (2024). Tuning the local coordination environment of silver(I) coordination networks with counterions for enhanced electrocatalytic CO2 reduction. Science China Chemistry. 67(5). 1524–1530. 6 indexed citations

Meng, Zhen, et al.. (2024). Hotspots and future trends of dermatofibrosarcoma protuberans. Frontiers in Oncology. 14. 1399486–1399486. 1 indexed citations

Xiang, Chao, et al.. (2023). Modeling Noncommutative Composition of Relations for Knowledge Graph Embedding. Electronics. 12(6). 1348–1348. 1 indexed citations

Fu, Cong, Changxu Wang, & Deng Cai. (2021). High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(8). 1–1. 50 indexed citations

Wang, Wenxiao, Zhengxu Yu, Cong Fu, Deng Cai, & Xiaofei He. (2021). COP: customized correlation-based Filter level pruning method for deep CNN compression. Neurocomputing. 464. 533–545. 20 indexed citations

Fu, Cong, et al.. (2019). FPGA-based Power Efficient Face Detection for Mobile Robots. 467–473. 7 indexed citations

Fu, Cong, Yonghui Zhang, Deng Cai, & Xiang Ren. (2019). AtSNE. 176–186. 14 indexed citations

Fu, Cong, Xinhua Pan, Shanshan Chen, & Zhizhen Ye. (2019). Raman determination of carrier concentration in ZnO-based heterostructure light-emitting diodes. Optics Letters. 44(7). 1576–1576. 3 indexed citations

10.

Fu, Cong, Chao Xiang, Changxu Wang, & Deng Cai. (2019). Fast approximate nearest neighbor search with the navigating spreading-out graph. Proceedings of the VLDB Endowment. 12(5). 461–474. 166 indexed citations

11.

Fu, Cong, Xinhua Pan, Haiping He, et al.. (2019). Raman-based measurement of carrier concentration in n-type ZnO thin films under resonant conditions. Physics Letters A. 384(7). 126148–126148. 16 indexed citations

12.

Zhao, Cheng, Chenliang Li, & Cong Fu. (2019). Cross-Domain Recommendation via Preference Propagation GraphNet. 2165–2168. 86 indexed citations

13.

Qian, Wei, Cong Fu, Yu Zhu, Deng Cai, & Xiaofei He. (2018). Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism. 4286–4292. 38 indexed citations

14.

Fu, Cong, Zhenhua Wang, & Yanlong Zhai. (2017). A CPU-GPU Data Transfer Optimization Approach Based on Code Migration and Merging. 23–26. 4 indexed citations

15.

Davis, John D., Cong Fu, & James Laudon. (2005). The RASE (Rapid, Accurate Simulation Environment) for chip multiprocessors. ACM SIGARCH Computer Architecture News. 33(4). 14–23. 9 indexed citations

16.

Fu, Cong, Xiangmin Jiao, & Tao Yang. (1998). Efficient sparse LU factorization with partial pivoting on distributed memory architectures. IEEE Transactions on Parallel and Distributed Systems. 9(2). 109–125. 18 indexed citations

17.

Fu, Cong, Xiangmin Jiao, & Tao Yang. (1997). A Comparison of 1-D and 2-D Data Mapping for Sparse LU Factorization with Partial Pivoting.. PPSC. 2 indexed citations

18.

Fu, Cong & Tao Yang. (1997). Run-Time Techniques for Exploiting Irregular Task Parallelism on Distributed Memory Architectures. Journal of Parallel and Distributed Computing. 42(2). 143–156. 9 indexed citations

19.

Fu, Cong & Tao Yang. (1997). Space and time efficient execution of parallel irregular computations. 57–68. 13 indexed citations

20.

Yang, Tao, Cong Fu, Apostolos Gerasoulis, & Vivek Sarkar. (1995). Mapping Iterative Task Graphs on Distributed Memory Machines.. Proceedings of the International Conference on Parallel Processing. 151–158. 9 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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