research-article

To better stand on the shoulder of giants

Authors:

Xiaoming LiAuthors Info & Claims

JCDL '12: Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries

Pages 51 - 60

https://doi.org/10.1145/2232817.2232831

Published: 10 June 2012 Publication History

Abstract

Usually scientists breed research ideas inspired by previous publications, but they are unlikely to follow all publications in the unbounded literature collection. The volume of literature keeps on expanding extremely fast, whilst not all papers contribute equal impact to the academic society. Being aware of potentially influential literature would put one in an advanced position in choosing important research references. Hence, estimation of potential influence is of great significance. We study a challenging problem of identifying potentially influential literature. We examine a set of hypotheses on what are the fundamental characteristics for highly cited papers and find some interesting patterns. Based on these observations, we learn to identify potentially influential literature via Future Influence Prediction (FIP), which aims to estimate the future influence of literature. The system takes a series of features of a particular publication as input and produces as output the estimated citation counts of that article after a given time period. We consider several regression models to formulate the learning process and evaluate their performance based on the coefficient of determination (R2). Experimental results on a real-large data set show a mean average predictive performance of 83.6% measured in R^2. We apply the learned model to the application of bibliography recommendation and obtain prominent performance improvement in terms of Mean Average Precision (MAP).

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Cited By

Ji TSelf NFu KChen ZRamakrishnan NLu C(2024)Citation Forecasting with Multi-Context Attention-Aided Dependency ModelingACM Transactions on Knowledge Discovery from Data10.1145/364914018:6(1-23)Online publication date: 12-Apr-2024
https://dl.acm.org/doi/10.1145/3649140
Qin HZheng YMa XTang K(2024)Citation Counts Prediction of Publications Based on Gated Graph Convolutional Neural Network Model with Multi-Feature Fusion2024 7th International Conference on Machine Learning and Natural Language Processing (MLNLP)10.1109/MLNLP63328.2024.10800652(1-7)Online publication date: 18-Oct-2024
https://doi.org/10.1109/MLNLP63328.2024.10800652
Yang ZZhang WWang ZHuang X(2024)A deep learning-based method for predicting the emerging degree of research topics using emerging indexScientometrics10.1007/s11192-024-05068-2129:7(4021-4042)Online publication date: 14-Jun-2024
https://doi.org/10.1007/s11192-024-05068-2
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Index Terms

To better stand on the shoulder of giants
1. Applied computing
  1. Computers in other domains
    1. Digital libraries and archives
2. Information systems
  1. Information retrieval
  2. Information systems applications
    1. Digital libraries and archives

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Published In

cover image ACM Conferences

JCDL '12: Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries

June 2012

458 pages

ISBN:9781450311540

DOI:10.1145/2232817

General Chairs:
Karim B. Boughida
The George Washington University, USA
,
Barrie Howard
The Library of Congress, USA
,
Program Chairs:
Michael L. Nelson
Old Dominion University, USA
,
Herbert Van de Sompel
Los Alamos National Laboratory, USA
,
Ingeborg Sølvberg
Norwegian University of Science & Technology, Norway

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 10 June 2012

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JCDL '12

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JCDL '12: 12th ACM/IEEE-CS Joint Conference on Digital Libraries

June 10 - 14, 2012

DC, Washington, USA

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Cited By

Ji TSelf NFu KChen ZRamakrishnan NLu C(2024)Citation Forecasting with Multi-Context Attention-Aided Dependency ModelingACM Transactions on Knowledge Discovery from Data10.1145/364914018:6(1-23)Online publication date: 12-Apr-2024
https://dl.acm.org/doi/10.1145/3649140
Qin HZheng YMa XTang K(2024)Citation Counts Prediction of Publications Based on Gated Graph Convolutional Neural Network Model with Multi-Feature Fusion2024 7th International Conference on Machine Learning and Natural Language Processing (MLNLP)10.1109/MLNLP63328.2024.10800652(1-7)Online publication date: 18-Oct-2024
https://doi.org/10.1109/MLNLP63328.2024.10800652
Yang ZZhang WWang ZHuang X(2024)A deep learning-based method for predicting the emerging degree of research topics using emerging indexScientometrics10.1007/s11192-024-05068-2129:7(4021-4042)Online publication date: 14-Jun-2024
https://doi.org/10.1007/s11192-024-05068-2
Farshid Danesh Somayeh GhaviDel (2023)Measuring Consolidation and Disruption Indexes in Global Knowledge and Information Creation PublicationsScientific and Technical Information Processing10.3103/S014768822304007X50:4(314-327)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.3103/S014768822304007X
Li XMa X(2023)Early Identification of Potential Disruptive Technologies Using Machine Learning and Text Mining2023 Portland International Conference on Management of Engineering and Technology (PICMET)10.23919/PICMET59654.2023.10216869(1-15)Online publication date: Jul-2023
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Ji SLu XLiu MSun LLiu CDu BXiong HSingh ASun YAkoglu LGunopulos DYan XKumar ROzcan FYe J(2023)Community-based Dynamic Graph Learning for Popularity PredictionProceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining10.1145/3580305.3599281(930-940)Online publication date: 6-Aug-2023
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Sheng LLyu DRuan XShen HCheng Y(2023)The association between prior knowledge and the disruption of an articleScientometrics10.1007/s11192-023-04751-0128:8(4731-4751)Online publication date: 8-Jun-2023
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Ren JShi YShatte AKong XXia FAizawa AMandl TCarevic ZHinze AMayr PSchaer P(2022)The significance and impact of winning an academic awardProceedings of the 22nd ACM/IEEE Joint Conference on Digital Libraries10.1145/3529372.3530913(1-11)Online publication date: 20-Jun-2022
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Geng HWang DZhuang FMing XDu CJiang TGuo HLiu RAl Hasan MXiong L(2022)Modeling Dynamic Heterogeneous Graph and Node Importance for Future Citation PredictionProceedings of the 31st ACM International Conference on Information & Knowledge Management10.1145/3511808.3557398(572-581)Online publication date: 17-Oct-2022
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Porwal PDevare M(2022)Citation Count Prediction Using Different Time Series Analysis Models2022 IEEE Bombay Section Signature Conference (IBSSC)10.1109/IBSSC56953.2022.10037553(1-5)Online publication date: 8-Dec-2022
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