| Efficient attentions for long document summarization L Huang, S Cao, N Parulian, H Ji, L Wang arXiv preprint arXiv:2104.02112, 2021 | 163 | 2021 |
| COVID-19 literature knowledge graph construction and drug repurposing report generation Q Wang, M Li, X Wang, N Parulian, G Han, J Ma, J Tu, Y Lin, H Zhang, ... arXiv preprint arXiv:2007.00576, 2020 | 141 | 2020 |
| Fine-grained information extraction from biomedical literature based on knowledge-enriched abstract meaning representation Z Zhang, NN Parulian, H Ji, AS Elsayed, S Myers, M Palmer Proc. The Joint Conference of the 59th Annual Meeting of the Association for …, 2021 | 28 | 2021 |
| COVID‐19 pandemic and information diffusion analysis on Twitter L Dinh, N Parulian Proceedings of the Association for Information Science and Technology 57 (1 …, 2020 | 22 | 2020 |
| Systematic examination of pre‐and post‐retraction citations L Dinh, J Sarol, YY Cheng, TK Hsiao, N Parulian, J Schneider Proceedings of the Association for Information Science and Technology 56 (1 …, 2019 | 20 | 2019 |
| An analysis of use and performance data aggregated from 35 institutional repositories K Arlitsch, J Wheeler, MTN Pham, NN Parulian Online Information Review 45 (2), 316-335, 2021 | 14 | 2021 |
| Context: Network construction from texts [Software] J Diesner, A Aleyasen, C Chin, S Mishra, K Soltani, L Tao, M Jiang, ... English, Illinois. Retrieved from http://context. ischool. illinois. edu, 2015 | 13 | 2015 |
| A model and system for querying provenance from data cleaning workflows NN Parulian, TM McPhillips, B Ludäscher Provenance and Annotation of Data and Processes: 8th and 9th International …, 2021 | 9 | 2021 |
| GAIA at SMKBP 2020-a dockerlized multi-media multi-lingual knowledge extraction, clustering, temporal tracking and hypothesis generation system M Li, Y Lin, TM Lai, X Pan, H Wen, S Li, Z Wang, P Yu, L Huang, D Lu, ... Proceedings of Thirteenth Text Analysis Conference (TAC 2020), 2020 | 8 | 2020 |
| COVID-19 literature knowledge graph construction and drug repurposing report generation. arXiv Q Wang, M Li, X Wang, N Parulian, G Han, J Ma, J Tu, Y Lin, H Zhang, ... arXiv preprint arXiv:2007.00576, 2020 | 7 | 2020 |
| Adversarial perturbations to manipulate the perception of power and influence in networks MV Avram, S Mishra, NN Parulian, J Diesner Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 6 | 2019 |
| COVID-19 literature knowledge graph construction and drug repurposing report generation. arXiv 2020 Q Wang, M Li, X Wang, N Parulian, G Han, J Ma, J Tu, Y Lin, H Zhang, ... arXiv preprint arXiv:2007.00576, 0 | 6 | |
| Fine-grained chemical entity typing with multimodal knowledge representation C Sun, W Li, J Xiao, NN Parulian, CX Zhai, H Ji 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 5 | 2021 |
| Towards transparent data cleaning: the data cleaning model explorer (DCM/X) NN Parulian, B Ludäscher 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 326-327, 2021 | 5 | 2021 |
| Trust the process: Analyzing prospective provenance for data cleaning NN Parulian, B Ludäscher Companion Proceedings of the ACM Web Conference 2023, 1513-1523, 2023 | 3 | 2023 |
| DCM explorer: a tool to support transparent data cleaning through provenance exploration NN Parulian, B Ludäscher Proceedings of the 14th International Workshop on the Theory and Practice of …, 2022 | 3 | 2022 |
| Automatic Module Detection in Data Cleaning Workflows: Enabling Transparency and Recipe Reuse L Li, N Parulian, B Ludäscher International Journal of Digital Curation 16 (1), 11-11, 2021 | 3 | 2021 |
| ReTracker: An open-source plugin for automated and standardized tracking of retracted scholarly publications L Dinh, YY Cheng, N Parulian 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 406-407, 2019 | 3 | 2019 |
| ReTracker: actively and automatically matching retraction metadata in Zotero YY Cheng, N Parulian, TK Hsiao, L Dinh, J Sarol, J Schneider Proceedings of the Association for Information Science and Technology 56 (1 …, 2019 | 3 | 2019 |
| Modeling Provenance and Understanding Reproducibility for {OpenRefine} Data Cleaning Workflows T McPhillips, L Li, N Parulian, B Ludäscher 11th international workshop on theory and practice of provenance (TaPP 2019), 2019 | 3 | 2019 |
Heng JiProfessor of Computer Science, University of Illinois Urbana-Champaign, Amazon Scholarillinois.edu üzerinde doğrulanmış e-posta adresine sahip
