G. Cao

1.6k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

G. Cao is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, G. Cao has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 4 papers in Artificial Intelligence and 2 papers in Electrical and Electronic Engineering. Recurrent topics in G. Cao's work include Opportunistic and Delay-Tolerant Networks (3 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Mobile Ad Hoc Networks (3 papers). G. Cao is often cited by papers focused on Opportunistic and Delay-Tolerant Networks (3 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Mobile Ad Hoc Networks (3 papers). G. Cao collaborates with scholars based in United States, China and Germany. G. Cao's co-authors include Jiachang Zhao, Wei Zhang, Sencun Zhu, Yuanli Jiang, Qiuyu Chen, Chang Lu, Yuxin He, Mengting Feng, Jianping Zhang and Chuntai Liu and has published in prestigious journals such as IEEE Access, IEEE Transactions on Wireless Communications and Composites Part A Applied Science and Manufacturing.

In The Last Decade

G. Cao

9 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

VADD: Vehicle-Assisted Data Delivery in Vehicular Ad Hoc Networks

2006 360 citations Jiachang Zhao, G. Cao profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
G. Cao United States	9	928	577	106	80	71	9	1.2k
Jung‐Su Kim South Korea	19	414 0.4×	633 1.1×	104 1.0×	157 2.0×	106 1.5×	109	1.5k
Vasileios Lakafosis United States	14	342 0.4×	707 1.2×	42 0.4×	113 1.4×	49 0.7×	43	1.1k
Seung‐Woo Ko South Korea	15	305 0.3×	371 0.6×	56 0.5×	23 0.3×	40 0.6×	53	751
Lei Lei China	18	382 0.4×	410 0.7×	62 0.6×	47 0.6×	70 1.0×	83	1.3k
Shichao Li China	13	400 0.4×	412 0.7×	89 0.8×	34 0.4×	32 0.5×	56	784
Zhiqin Wang China	18	206 0.2×	970 1.7×	163 1.5×	42 0.5×	115 1.6×	70	1.4k
Yaoyao Ye China	23	343 0.4×	1.1k 1.8×	101 1.0×	77 1.0×	89 1.3×	81	1.5k
Tian He China	11	1.2k 1.3×	481 0.8×	9 0.1×	97 1.2×	59 0.8×	38	1.4k
Lingfeng Liu China	12	142 0.2×	599 1.0×	109 1.0×	33 0.4×	81 1.1×	67	926
Jia Zhang China	12	142 0.2×	151 0.3×	80 0.8×	67 0.8×	43 0.6×	70	524

Countries citing papers authored by G. Cao

Since Specialization

Citations

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

Fields of papers citing papers by G. Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Cao

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

9 of 9 papers shown

1.

Liu, Wei, G. Cao, & Jianqin Yin. (2019). Bi-Level Attention Model for Sentiment Analysis of Short Texts. IEEE Access. 7. 119813–119822. 18 indexed citations

2.

He, Yuxin, Qiuyu Chen, Yang Song, et al.. (2018). Micro-crack behavior of carbon fiber reinforced Fe3O4/graphene oxide modified epoxy composites for cryogenic application. Composites Part A Applied Science and Manufacturing. 108. 12–22. 177 indexed citations

3.

Zhao, Bo, Chi Chen, Wei Gao, Sencun Zhu, & G. Cao. (2009). A Chain Reaction DoS Attack on 3G Networks: Analysis and Defenses. 9. 2455–2463. 15 indexed citations

4.

Cao, G., et al.. (2009). A Social Network Based Patching Scheme for Worm Containment in Cellular Networks. 95 indexed citations

5.

Shao, Ming, Song Zhu, Weidong Zhang, & G. Cao. (2007). pDCS: Security and Privacy Support for Data-Centric Sensor Networks. 1298–1306. 58 indexed citations

6.

Zhao, Jiachang & G. Cao. (2006). VADD: Vehicle-Assisted Data Delivery in Vehicular Ad Hoc Networks. 1–12. 360 indexed citations breakdown →

7.

Traynor, Patrick, Hongjun Choi, G. Cao, Sencun Zhu, & Thomas La Porta. (2006). Establishing Pair-Wise Keys in Heterogeneous Sensor Networks. 1–12. 71 indexed citations

8.

Lim, Sunho, et al.. (2004). A novel caching scheme for Internet based mobile ad hoc networks. 38–43. 43 indexed citations

9.

Zhang, Wei & G. Cao. (2004). DCTC: Dynamic Convoy Tree-Based Collaboration for Target Tracking in Sensor Networks. IEEE Transactions on Wireless Communications. 3(5). 1689–1701. 359 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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