Shuohang Wang

4.7k total citations · 2 hit papers
41 papers, 1.5k citations indexed

About

Shuohang Wang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biochemistry. According to data from OpenAlex, Shuohang Wang has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 2 papers in Biochemistry. Recurrent topics in Shuohang Wang's work include Topic Modeling (31 papers), Natural Language Processing Techniques (24 papers) and Multimodal Machine Learning Applications (21 papers). Shuohang Wang is often cited by papers focused on Topic Modeling (31 papers), Natural Language Processing Techniques (24 papers) and Multimodal Machine Learning Applications (21 papers). Shuohang Wang collaborates with scholars based in United States, Singapore and China. Shuohang Wang's co-authors include Jing Jiang, Zhe Gan, Yang Liu, Ruochen Xu, Chenguang Zhu, Xu Yi‐chong, Yuwei Fang, Siqi Sun, Dan Iter and Michael Zeng and has published in prestigious journals such as Chemical Engineering Journal, Journal of Geotechnical and Geoenvironmental Engineering and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Shuohang Wang

39 papers receiving 1.4k citations

Hit Papers

G-Eval: NLG Evaluation using Gpt-4 with Better Human Alig... 2022 2026 2023 2024 2023 2022 50 100 150 200
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.

  1. G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment
    2023 220 citations Yang Liu, Dan Iter et al. profile →
  2. An Empirical Study of Training End-to-End Vision-and-Language Transformers
    2022 204 citations Zi-Yi Dou, Yichong Xu et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shuohang Wang United States 23 1.2k 585 153 54 48 41 1.5k
Qing Cui China 12 492 0.4× 196 0.3× 144 0.9× 23 0.4× 57 1.2× 36 876
Deyi Xiong China 24 2.1k 1.8× 648 1.1× 179 1.2× 18 0.3× 147 3.1× 180 2.4k
Qingyang Wang United States 19 252 0.2× 89 0.2× 666 4.4× 26 0.5× 19 0.4× 100 1.2k
Sriparna Saha India 17 768 0.7× 117 0.2× 158 1.0× 29 0.5× 240 5.0× 110 1.1k
Ting Liu China 21 1.2k 1.0× 180 0.3× 179 1.2× 15 0.3× 85 1.8× 74 1.4k
Sebastian Ruder United States 17 1.3k 1.1× 292 0.5× 142 0.9× 6 0.1× 45 0.9× 46 1.5k
Bazil Pârv Romania 11 254 0.2× 63 0.1× 73 0.5× 35 0.6× 39 0.8× 34 464
Xingcheng Yao China 2 1.1k 1.0× 322 0.6× 223 1.5× 12 0.2× 63 1.3× 3 1.4k
Libin Yang China 16 591 0.5× 113 0.2× 308 2.0× 15 0.3× 56 1.2× 69 877
Tao Ge China 17 678 0.6× 183 0.3× 80 0.5× 24 0.4× 22 0.5× 45 876

Countries citing papers authored by Shuohang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shuohang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuohang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Shuohang Wang. A scholar is included among the top collaborators of Shuohang 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 Shuohang Wang. Shuohang 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
1.
2.
Jiang, Meng, et al.. (2024). Knowledge-augmented Methods for Natural Language Processing. SpringerBriefs in computer science. 2 indexed citations
3.
Xu, Canwen, et al.. (2024). Small Models are Valuable Plug-ins for Large Language Models. 283–294. 18 indexed citations
4.
Yi‐chong, Xu, Ruochen Xu, Dan Iter, et al.. (2023). InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. 13879–13892. 1 indexed citations
5.
Wang, Shuohang, et al.. (2022). Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3170–3179. 2 indexed citations
6.
Hu, Ziniu, Xu Yi‐chong, Wenhao Yu, et al.. (2022). Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. 9562–9581. 20 indexed citations
7.
Chen, Yulong, Yang Liu, Dong Li, et al.. (2022). AdaPrompt: Adaptive Model Training for Prompt-based NLP. 6057–6068. 31 indexed citations
8.
Wang, Shuohang, Ruochen Xu, Yang Liu, Chenguang Zhu, & Michael Zeng. (2022). ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation. 7111–7122. 2 indexed citations
9.
Dou, Zi-Yi, Yichong Xu, Zhe Gan, et al.. (2022). An Empirical Study of Training End-to-End Vision-and-Language Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 18145–18155. 204 indexed citations breakdown →
10.
Chen, Xiaohan, Yu Cheng, Shuohang Wang, et al.. (2021). EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets. 2195–2207. 26 indexed citations
11.
Sun, Siqi, Yen-Chun Chen, Linjie Li, et al.. (2021). LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval. 982–997. 53 indexed citations
12.
Fang, Yuwei, Siqi Sun, Zhe Gan, et al.. (2020). Hierarchical Graph Network for Multi-hop Question Answering. 8823–8838. 89 indexed citations
13.
Wang, Shuohang, Yuwei Fang, Siqi Sun, et al.. (2020). Cross-Thought for Sentence Encoder Pre-training. 412–421. 9 indexed citations
14.
Sun, Siqi, Zhe Gan, Yuwei Fang, et al.. (2020). Contrastive Distillation on Intermediate Representations for Language Model Compression. 498–508. 41 indexed citations
15.
Wang, Boxin, et al.. (2020). T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack. 6134–6150. 32 indexed citations
16.
Tay, Yi, Anh Tuan Luu, Aston Zhang, Shuohang Wang, & Siu Cheung Hui. (2019). Compositional De-Attention Networks. Neural Information Processing Systems. 32. 6132–6142. 9 indexed citations
17.
Lan, Yunshi, Shuohang Wang, & Jing Jiang. (2019). Knowledge Base Question Answering with Topic Units. 5046–5052. 28 indexed citations
18.
Wang, Shuohang, Mo Yu, Xiaoxiao Guo, et al.. (2018). R 3 : Reinforced Ranker-Reader for Open-Domain Question Answering.. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 5981–5988. 88 indexed citations
19.
Wang, Shuohang, Mo Yu, Jing Jiang, et al.. (2017). Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 1. 49 indexed citations
20.
Wang, Shuohang & Jing Jiang. (2016). Machine Comprehension Using Match-LSTM and Answer Pointer. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 1. 58 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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