Cailing Dong

651 total citations
9 papers, 401 citations indexed

About

Cailing Dong is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Cailing Dong has authored 9 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Information Systems and 1 paper in Computer Networks and Communications. Recurrent topics in Cailing Dong's work include Text and Document Classification Technologies (4 papers), Web Data Mining and Analysis (3 papers) and Spam and Phishing Detection (2 papers). Cailing Dong is often cited by papers focused on Text and Document Classification Technologies (4 papers), Web Data Mining and Analysis (3 papers) and Spam and Phishing Detection (2 papers). Cailing Dong collaborates with scholars based in United States, China and Germany. Cailing Dong's co-authors include Xinjian Guo, Gongping Yang, Guang-Tong Zhou, Yilong Yin, Ulrich Schäfer, Bin Zhou, Yilong Yin, Genshe Chen, Hongxia Jin and Bin Jia and has published in prestigious journals such as Science China Information Sciences, International Joint Conference on Natural Language Processing and Proceedings of the International AAAI Conference on Web and Social Media.

In The Last Decade

Cailing Dong

8 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cailing Dong United States	5	248	59	58	43	37	9	401
Qinxue Meng Australia	5	226 0.9×	48 0.8×	44 0.8×	16 0.4×	60 1.6×	9	390
Eric W. Cooper Japan	7	358 1.4×	62 1.1×	78 1.3×	31 0.7×	62 1.7×	50	584
Guang-Tong Zhou China	8	320 1.3×	46 0.8×	62 1.1×	23 0.5×	173 4.7×	16	538
Stamatis Karlos Greece	10	265 1.1×	49 0.8×	30 0.5×	23 0.5×	46 1.2×	32	461
Negin Samadi Iran	9	228 0.9×	57 1.0×	36 0.6×	44 1.0×	48 1.3×	20	558
Debashree Devi India	10	291 1.2×	63 1.1×	107 1.8×	18 0.4×	41 1.1×	17	412
Harshvardhan GM India	11	162 0.7×	39 0.7×	27 0.5×	33 0.8×	96 2.6×	20	488
Mehdi Naseriparsa Australia	8	266 1.1×	76 1.3×	21 0.4×	32 0.7×	39 1.1×	13	413
David A. Cieslak United States	8	503 2.0×	89 1.5×	184 3.2×	14 0.3×	53 1.4×	14	640
Pablo Bermejo Spain	10	336 1.4×	93 1.6×	52 0.9×	78 1.8×	136 3.7×	26	591

Countries citing papers authored by Cailing Dong

Since Specialization

Citations

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

Fields of papers citing papers by Cailing Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cailing Dong

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

Dong, Cailing, Hongxia Jin, & Bart P. Knijnenburg. (2021). Predicting Privacy Behavior on Online Social Networks. Proceedings of the International AAAI Conference on Web and Social Media. 9(1). 91–100. 2 indexed citations

2.

Jia, Bin, et al.. (2018). Pattern Discovery and Anomaly Detection via Knowledge Graph. 2392–2399. 8 indexed citations

3.

Dong, Cailing & Bin Zhou. (2013). An Ensemble Learning Framework for Online Web Spam Detection. 40–45. 1 indexed citations

4.

Dong, Cailing & Bin Zhou. (2012). Effectively Detecting Content Spam on the Web Using Topical Diversity Measures. 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology. 266–273. 9 indexed citations

5.

Dong, Cailing & Ulrich Schäfer. (2011). Ensemble-style Self-training on Citation Classification. International Joint Conference on Natural Language Processing. 623–631. 58 indexed citations

6.

Dong, Cailing, et al.. (2010). Detecting malignant patients via modified boosted tree. Science China Information Sciences. 53(7). 1369–1378. 6 indexed citations

7.

Guo, Xinjian, Yilong Yin, Cailing Dong, Gongping Yang, & Guang-Tong Zhou. (2008). On the Class Imbalance Problem. 192–201. 311 indexed citations

8.

Dong, Cailing, Yilong Yin, Xinjian Guo, Gongping Yang, & Guang-Tong Zhou. (2008). On Co-Training Style Algorithms. 196–201. 2 indexed citations

9.

Dong, Cailing, et al.. (2002). Flexible web-based decision support system generator (FWDSSG) utilising software agents. 892–897. 4 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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