Sida Wang

2.5k total citations · 1 hit paper
50 papers, 1.3k citations indexed

About

Sida Wang is a scholar working on Artificial Intelligence, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sida Wang has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 9 papers in Biomedical Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sida Wang's work include Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). Sida Wang is often cited by papers focused on Topic Modeling (9 papers), Natural Language Processing Techniques (5 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (4 papers). Sida Wang collaborates with scholars based in China, United States and Israel. Sida Wang's co-authors include Christopher D. Manning, Percy Liang, Stefan Wager, Zhixian Li, Yuanyuan Chen, Spence Green, Daniel Cer, Weiwei Guo, Dazhao Song and Liming Qiu and has published in prestigious journals such as PLoS ONE, Scientific Reports and ACS Applied Materials & Interfaces.

In The Last Decade

Sida Wang

47 papers receiving 1.2k citations

Hit Papers

Baselines and Bigrams: Simple, Good Sentiment and Topic C... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sida Wang China 13 838 175 173 66 63 50 1.3k
Xianghua Fu China 19 753 0.9× 135 0.8× 231 1.3× 29 0.4× 76 1.2× 67 1.3k
Cătălin Stoean Romania 19 602 0.7× 124 0.7× 92 0.5× 51 0.8× 28 0.4× 75 1.1k
Malak Abdullah Jordan 14 670 0.8× 97 0.6× 191 1.1× 26 0.4× 61 1.0× 50 1.2k
Nikita Jain India 17 424 0.5× 267 1.5× 86 0.5× 161 2.4× 36 0.6× 85 1.3k
Husanbir Singh Pannu India 16 463 0.6× 227 1.3× 141 0.8× 36 0.5× 13 0.2× 41 1.1k
Yuwen Li China 18 503 0.6× 241 1.4× 231 1.3× 62 0.9× 50 0.8× 53 1.1k
Wenya Wang China 15 975 1.2× 107 0.6× 114 0.7× 156 2.4× 28 0.4× 68 1.4k
Mahendra Kumar Gourisaria India 15 269 0.3× 138 0.8× 120 0.7× 51 0.8× 28 0.4× 147 885
Claude Nadeau Canada 7 439 0.5× 125 0.7× 82 0.5× 85 1.3× 26 0.4× 9 1.3k

Countries citing papers authored by Sida Wang

Since Specialization
Citations

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

Fields of papers citing papers by Sida Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sida Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Sida Wang. A scholar is included among the top collaborators of Sida Wang 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 Sida Wang. Sida Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Zhang, Xiaoqian, Guanhua Qiu, Yuanyuan Chen, et al.. (2025). Near-infrared-triggered copper-doped carbon nitride nanocomposite inducing domino effect for synergistic tumor therapy and immune microenvironment reprogramming. Materials Today Bio. 34. 102132–102132. 1 indexed citations
3.
Wang, Sida, et al.. (2024). Global Sensitivity Analysis Methodology for Construction Simulation Models: Multiple Linear Regressions versus Multilayer Perceptions. Journal of Construction Engineering and Management. 150(5). 4 indexed citations
5.
Wang, Sida, Phil Liebing, Martin Feneberg, et al.. (2023). Synthesis and Structural Characterization of Divalent Transition Metal Alkynylamidinate Complexes. European Journal of Inorganic Chemistry. 26(14). 1 indexed citations
6.
Zhong, Victor W., et al.. (2021). SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark. Neural Information Processing Systems. 34. 4 indexed citations
7.
Li, Hu, Xingbo Cheng, Zev A. Binder, et al.. (2021). Molecular and Clinical Characterization of UBE2S in Glioma as a Biomarker for Poor Prognosis and Resistance to Chemo-Radiotherapy. Frontiers in Oncology. 11. 640910–640910. 17 indexed citations
8.
Li, Hu, et al.. (2021). Expression Profile Analysis Identifies a Novel Seven Immune-Related Gene Signature to Improve Prognosis Prediction of Glioblastoma. Frontiers in Genetics. 12. 638458–638458. 8 indexed citations
9.
Zhao, Xiangyu, Haochen Liu, Hui Liu, et al.. (2021). AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems. 3015–3022. 36 indexed citations
10.
Tan, James, Sida Wang, Gregory J. Dick, et al.. (2020). Co-cultivation of microbial sub-communities in microfluidic droplets facilitates high-resolution genomic dissection of microbial ‘dark matter’. Integrative Biology. 12(11). 263–274. 21 indexed citations
11.
Song, Dazhao, Enyuan Wang, Xiaoyan Song, et al.. (2019). Characteristics of EMR emitted by coal and rock with prefabricated cracks under uniaxial compression. Geomechanics and Engineering. 19(1). 49–60. 7 indexed citations
12.
Guo, Yuqing, et al.. (2018). Ultrasound-Guided Percutaneous Needle Biopsy for Peripheral Pulmonary Lesions: Diagnostic Accuracy and Influencing Factors. Ultrasound in Medicine & Biology. 44(5). 1003–1011. 45 indexed citations
13.
Wang, Sida. (2017). Characterizing Microbial Communities Using Droplet Microfluidic Technology. Deep Blue (University of Michigan). 1 indexed citations
14.
Wang, Sida, Lei Wang, Zhixian Li, et al.. (2017). Differential diagnostic performance of acoustic radiation force impulse imaging in small (≤20 mm) breast cancers: Is it valuable?. Scientific Reports. 7(1). 8650–8650. 6 indexed citations
15.
Li, Le-Qun, Tao Bai, Jie Chen, et al.. (2016). The efficacy and safety of postoperative adjuvant transarterial embolization and radiotherapy in hepatocellular carcinoma patients with portal vein tumor thrombus. OncoTargets and Therapy. Volume 9. 3841–3848. 25 indexed citations
16.
Frostig, Roy, Sida Wang, Percy Liang, & Christopher D. Manning. (2014). Simple MAP Inference via Low-Rank Relaxations. Neural Information Processing Systems. 27. 3077–3085. 3 indexed citations
17.
Wang, Sida & Christopher D. Manning. (2013). Fast dropout training. International Conference on Machine Learning. 9(54). 118–126. 125 indexed citations
18.
Green, Spence, Daniel Cer, Rob Voigt, et al.. (2013). Feature-Rich Phrase-based Translation: Stanford University's Submission to the WMT 2013 Translation Task. Workshop on Statistical Machine Translation. 148–153. 5 indexed citations
19.
Green, Spence, Sida Wang, Daniel Cer, & Christopher D. Manning. (2013). Fast and Adaptive Online Training of Feature-Rich Translation Models. Meeting of the Association for Computational Linguistics. 311–321. 25 indexed citations
20.
Wang, Sida & Christopher D. Manning. (2012). Baselines and Bigrams: Simple, Good Sentiment and Topic Classification. Meeting of the Association for Computational Linguistics. 2. 90–94. 628 indexed citations breakdown →

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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