Xiaodan Song

6.1k citations
27 papers · 2.9k indexed · 1 hit paper · h-index 13

Impact in

Papers in

Xiaodan Song

25 papers receiving 2.6k citations

Hit Papers

Why we twitter 2007 · 1.8k citations
1.8k200720262013201950010001.5k

Peers

Xiaodan Song
Comparison fields: 5 of 124
  • Statistical and Nonlinear Physics 1.3k
  • Communication 669
  • Information Systems 804
  • Artificial Intelligence 838
  • Transportation 154
Replace Akshay Java with:
Akshay Java United States
Daniel M. Romero United States
Belle L. Tseng United States
Scott A. Golder United States
Jasmine Novak United States
Markus Strohmaier Austria
Daniel Gruhl United States
Changhyun Lee South Korea
Sitaram Asur United States
Marcelo Mendoza Chile
Xiaodan Song relative to Akshay Java United States Akshay Java's profile →
Citations per field
00.5×2.8×
Akshay Java · 1×
Citations per year

Countries citing papers authored by Xiaodan Song

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Xiaodan Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaodan Song Line = papers co-authored together Xiaodan Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 20238
4 20202
5
MobileBERT: Task-Agnostic Compression of BERT by Progressive Knowledge Transfer
20197
6 200898
7 2007160
8 2007239
9 200791
10
Why we twitter
Hit paper breakdown →
20071768
11
Summarization System by Identifying Influential Blogs.
20070
12 200744
13
The Splog Detection Task and A Solution Based on Temporal and Link Properties.
20069
14 20064
15 200559
16 20052
17 20059
18 19992
19 199752
20
The effect of R&D-manufacturing-marketing integration on new product performance in Japanese and U.S. firms : a contingency perspective : working paper
19962

About Xiaodan Song

Xiaodan Song is a scholar working on Statistical and Nonlinear Physics, Information Systems, Computer Vision and Pattern Recognition, Software and Artificial Intelligence, having authored 27 papers that have together received 2.9k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (9 papers), Peer-to-Peer Network Technologies (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Recommender Systems and Techniques (4 papers), Opinion Dynamics and Social Influence (4 papers), Video Analysis and Summarization (3 papers), Face and Expression Recognition (3 papers) and Image Retrieval and Classification Techniques (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.3k citations), Communication (669 citations), Information Systems (804 citations), Artificial Intelligence (838 citations) and Transportation (154 citations). Xiaodan Song has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Belle L. Tseng, Tim Finin, Akshay Java, Yün Chi, Koji Hino, Dengyong Zhou, Ming–Ting Sun, Ching‐Yung Lin, Shenghuo Zhu and Mark E. Parry. Their work appears in journals such as Journal of Product Innovation Management, ACM Transactions on Knowledge Discovery from Data, IEEE Transactions on Instrumentation and Measurement, Strategic Management Journal and Journal of Marketing Research.

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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