Guang Xiang
- Information Systems top 1%
- Artificial Intelligence top 5%
- Signal Processing top 2%
- Computer Networks and Communications top 10%
- Sociology and Political Science top 10%
- Co-authors
- Jason HongCarolyn Penstein RoséLorrie Faith CranorLing WangBin FanAlexander G. HauptmannLu JiangJialiu Lin
- Topics
- Spam and Phishing Detection (4 papers)Advanced Malware Detection Techniques (4 papers)Topic Modeling (3 papers)
- Journals
- ACM Transactions on Information and System SecuritySecurity and Communication NetworksMeeting of the Association for Computational Linguistics
- Partner nations
- United StatesChinaPortugal
In The Last Decade
Guang Xiang
16 papers receiving 773 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Information Systems 532
- Artificial Intelligence 453
- Signal Processing 378
- Computer Networks and Communications 134
- Sociology and Political Science 126
Countries citing papers authored by Guang Xiang
This map shows the geographic impact of Guang Xiang'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 Guang Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Xiang more than expected).
Fields of papers citing papers by Guang Xiang
This network shows the impact of papers produced by Guang Xiang. 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 Guang Xiang. The network helps show where Guang Xiang may publish in the future.
Co-authorship network of co-authors of Guang Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Guang Xiang. A scholar is included among the top collaborators of Guang Xiang 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 Guang Xiang. Guang Xiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 0 | |
| 3 | Extracting Events with Informal Temporal References in Personal Histories in Online Communities | 9 |
| 4 | 1 | |
| 5 | Microblogs as Parallel Corpora | 46 |
| 6 | 9 | |
| 7 | Improving Relative-Entropy Pruning using Statistical Significance | 1 |
| 8 | 166 | |
| 9 | 54 | |
| 10 | 9 | |
| 11 | CANTINA+breakdown → | 341 |
| 12 | 21 | |
| 13 | 40 | |
| 14 | 89 | |
| 15 | Analysis and Treatment for Shiziya Tunnel Damage | 0 |
| 16 | 25 | |
| 17 | 4 | |
| 18 | 4 |
About Guang Xiang
Guang Xiang is a scholar working on General Engineering, Signal Processing and Information Systems, having authored 18 papers that have together received 838 indexed citations. Recurring topics across this work include Spam and Phishing Detection (4 papers), Advanced Malware Detection Techniques (4 papers) and Topic Modeling (3 papers). The work is most often cited by research in Signal Processing (378 citations), Information Systems (532 citations) and Artificial Intelligence (453 citations). Guang Xiang has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Jason Hong, Carolyn Penstein Rosé, Lorrie Faith Cranor, Ling Wang, Bin Fan, Alexander G. Hauptmann, Lu Jiang, Jialiu Lin, Norman Sadeh and Chris Dyer. Their work appears in journals such as ACM Transactions on Information and System Security, Security and Communication Networks and Meeting of the Association for Computational Linguistics.
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.