| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2025 | J | jnl |
Inf. Fusion
|
| 2025 | A | conf |
ICWSM
|
| 2025 | J | jnl |
Int. J. Hum. Comput. Interact.
|
| 2024 | — | conf |
GAIIS
|
| 2024 | J | jnl |
Expert Syst. Appl.
|
| 2024 | J | jnl |
Multim. Tools Appl.
|
| 2024 | J | jnl |
Big Data Min. Anal.
|
| 2024 | — | conf |
IMMS
|
| 2024 | J | jnl |
CoRR
|
| 2023 | J | jnl |
Comput. Hum. Behav.
|
| 2023 | J | jnl |
J. Big Data
|
| 2023 | J | jnl |
Electron. Commer. Res. Appl.
|
| 2023 | J | jnl |
J. Comput. Sci.
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
CoRR
|
| 2023 | J | jnl |
Inf. Sci.
|
| 2023 | J | jnl |
Inf. Process. Manag.
|
| 2023 | J | jnl |
Inf. Process. Manag.
|
| 2022 | J | jnl |
EPJ Data Sci.
|
| 2022 | J | jnl |
Entropy
|
| 2022 | J | jnl |
J. Theor. Appl. Electron. Commer. Res.
|
| 2022 | B | conf |
DSAA
|
| 2022 | J | jnl |
CoRR
|
| 2022 | B | conf |
DSAA
|
| 2022 | J | jnl |
CoRR
|
| 2022 | B | conf |
DSAA
|
| 2022 | J | jnl |
Inf. Sci.
|
| 2022 | B | conf |
DSAA
|
| 2022 | — | conf |
ACAI
|
| 2021 | J | jnl |
CoRR
|
| 2021 | J | jnl |
Knowl. Based Syst.
|
| 2021 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2020 | — | conf |
HCI (13)
|
| 2020 | J | jnl |
EPJ Data Sci.
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
CoRR
|
| 2020 | J | jnl |
Neurocomputing
|
| 2020 | J | jnl |
Entropy
|
| 2020 | J | jnl |
CoRR
|
| 2019 | J | jnl |
Knowl. Based Syst.
|
| 2019 | J | jnl |
CoRR
|
| 2019 | J | jnl |
CoRR
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
EPJ Data Sci.
|
| 2018 | J | jnl |
CoRR
|
| 2018 | J | jnl |
Soc. Networks
|
| 2018 | J | jnl |
World Wide Web
|
| 2018 | J | jnl |
CoRR
|
| 2017 | J | jnl |
CoRR
|
| 2017 | J | jnl |
PeerJ Comput. Sci.
|
| 2017 | J | jnl |
CoRR
|
| 2017 | J | jnl |
CoRR
|
| 2017 | J | jnl |
CoRR
|
| 2017 | J | jnl |
Scientometrics
|
| 2017 | J | jnl |
CoRR
|
| 2017 | — | conf |
ICIC (1)
|
| 2016 | — | conf |
WISE (1)
|
| 2016 | J | jnl |
CoRR
|
| 2016 | J | jnl |
CoRR
|
| 2016 | J | jnl |
CoRR
|
| 2016 | — | conf |
Supervised Learning Algorithm for Spiking Neurons Based on Nonlinear Inner Products of Spike Trains.
ICIC (2)
|
| 2016 | J | jnl |
J. Comput. Mediat. Commun.
|
| 2016 | J | jnl |
Knowl. Inf. Syst.
|
| 2015 | J | jnl |
Sci. China Inf. Sci.
|
| 2015 | J | jnl |
CoRR
|
| 2015 | J | jnl |
World Wide Web
|
| 2015 | J | jnl |
Soc. Netw. Anal. Min.
|
| 2014 | J | jnl |
CoRR
|
| 2014 | J | jnl |
Neurocomputing
|
| 2014 | J | jnl |
CoRR
|
| 2014 | B | conf |
ASONAM
|
| 2014 | B | conf |
ASONAM
|
| 2014 | J | jnl |
CoRR
|
| 2014 | J | jnl |
CoRR
|
| 2014 | J | jnl |
CoRR
|
| 2013 | J | jnl |
CoRR
|
| 2013 | A* | conf |
AAAI
|
| 2013 | — | conf |
WAIM
|
| 2013 | J | jnl |
CoRR
|
| 2012 | J | jnl |
Knowl. Inf. Syst.
|
| 2012 | J | jnl |
CoRR
|
| 2012 | A* | conf |
KDD
|
| 2012 | — | conf |
CGC
|
| 2011 | J | jnl |
CoRR
|
| 2011 | J | jnl |
CoRR
|
| 2010 | J | jnl |
CoRR
|
| 2010 | J | jnl |
CoRR
|
| 2009 | J | jnl |
CoRR
|