Juncheng Gu

617 total citations
11 papers, 423 citations indexed

About

Juncheng Gu is a scholar working on Computer Networks and Communications, Information Systems and Hardware and Architecture. According to data from OpenAlex, Juncheng Gu has authored 11 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 8 papers in Information Systems and 3 papers in Hardware and Architecture. Recurrent topics in Juncheng Gu's work include Cloud Computing and Resource Management (8 papers), Caching and Content Delivery (4 papers) and Advanced Data Storage Technologies (4 papers). Juncheng Gu is often cited by papers focused on Cloud Computing and Resource Management (8 papers), Caching and Content Delivery (4 papers) and Advanced Data Storage Technologies (4 papers). Juncheng Gu collaborates with scholars based in United States, China and United Kingdom. Juncheng Gu's co-authors include Kang G. Shin, Mosharaf Chowdhury, Youngmoon Lee, Longjun Liu, Yang Hu, Chuanxiong Guo, Chao Li, Hongqiang Harry Liu, Tao Li and Yibo Zhu and has published in prestigious journals such as IEEE Transactions on Parallel and Distributed Systems, Reactive and Functional Polymers and Networked Systems Design and Implementation.

In The Last Decade

Juncheng Gu

11 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Juncheng Gu United States	9	289	232	131	106	80	11	423
Hyong S. Kim United States	11	329 1.1×	222 1.0×	97 0.7×	93 0.9×	46 0.6×	47	439
Puneet Kaur India	6	223 0.8×	108 0.5×	57 0.4×	203 1.9×	122 1.5×	15	373
Yanfei Guo United States	12	373 1.3×	317 1.4×	66 0.5×	87 0.8×	22 0.3×	45	464
Weibei Fan China	12	256 0.9×	113 0.5×	77 0.6×	36 0.3×	118 1.5×	62	360
Engin Arslan United States	13	439 1.5×	208 0.9×	101 0.8×	29 0.3×	94 1.2×	43	497
Jason Lowe-Power United States	10	428 1.5×	145 0.6×	104 0.8×	474 4.5×	138 1.7×	27	603
Yuanyuan Sun China	10	155 0.5×	105 0.5×	133 1.0×	35 0.3×	112 1.4×	28	349
Ahmad Yasin Israel	8	313 1.1×	180 0.8×	53 0.4×	309 2.9×	113 1.4×	16	461
Luo Mai United Kingdom	9	163 0.6×	107 0.5×	90 0.7×	30 0.3×	34 0.4×	19	305
Nam-Su Jho South Korea	10	126 0.4×	156 0.7×	138 1.1×	23 0.2×	48 0.6×	26	301

Countries citing papers authored by Juncheng Gu

Since Specialization

Citations

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

Fields of papers citing papers by Juncheng Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juncheng Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Juncheng Gu. A scholar is included among the top collaborators of Juncheng Gu 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 Juncheng Gu. Juncheng Gu 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:

11 of 11 papers shown

1.

Zhang, Ziqi, et al.. (2020). Efficient Adversarial Training With Transferable Adversarial Examples. 1178–1187. 54 indexed citations

2.

Zhang, Yu, Changyou Li, Dong Chu, et al.. (2019). Process optimization for the preparation of thiamethoxam microspheres by response surface methodology. Reactive and Functional Polymers. 147. 104460–104460. 8 indexed citations

3.

Gu, Juncheng, Mosharaf Chowdhury, Kang G. Shin, et al.. (2019). Tiresias: A {GPU} Cluster Manager for Distributed Deep Learning. Scholarworks@UNIST (Ulsan National Institute of Science and Technology). 485–500. 114 indexed citations

4.

Gu, Juncheng, et al.. (2017). Efficient memory disaggregation with INFINISWAP. Networked Systems Design and Implementation. 649–667. 91 indexed citations

5.

Zhang, Yiwen, Juncheng Gu, Youngmoon Lee, Mosharaf Chowdhury, & Kang G. Shin. (2017). Performance Isolation Anomalies in RDMA. 43–48. 15 indexed citations

6.

Li, Chao, Yang Hu, Juncheng Gu, Jingling Yuan, & Tao Li. (2016). Oasis: Scaling Out Datacenter Sustainably and Economically. IEEE Transactions on Parallel and Distributed Systems. 28(7). 1960–1973. 9 indexed citations

7.

Liu, Longjun, Chao Li, Hongbin Sun, et al.. (2015). HEB. 463–475. 42 indexed citations

8.

Li, Chao, Yang Hu, Longjun Liu, et al.. (2015). Towards sustainable in-situ server systems in the big data era. ACM SIGARCH Computer Architecture News. 43(3S). 14–26. 18 indexed citations

9.

Liu, Longjun, Chao Li, Hongbin Sun, et al.. (2015). HEB. ACM SIGARCH Computer Architecture News. 43(3S). 463–475. 6 indexed citations

10.

Li, Chao, Yang Hu, Longjun Liu, et al.. (2015). Towards sustainable in-situ server systems in the big data era. 14–26. 51 indexed citations

11.

Liu, Longjun, et al.. (2015). BAAT: Towards Dynamically Managing Battery Aging in Green Datacenters. 307–318. 15 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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