Chuhan Wu publications per year

The chart shows the history of publications by Chuhan Wu between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Chuhan Wu published across 25 years, from 2001 to 2025, averaging 8.9 papers a year. Output peaked at 46 publications in 2021. 54 of the 223 publications appeared in the last two years.

No. of publications

10 20 30 40

2001 2025

223 publications in total across all disciplines

View publications per year as a table

Chuhan Wu: publications per year, 2001 to 2025
Year	Publications
2001	1
2002	0
2003	1
2004	0
2005	0
2006	0
2007	0
2008	0
2009	0
2010	0
2011	0
2012	0
2013	0
2014	0
2015	0
2016	0
2017	1
2018	14
2019	29
2020	25
2021	46
2022	37
2023	15
2024	28
2025	26
Total	223

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Chuhan Wu publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Chuhan Wu sits on this spectrum.

No. of scientists

200 400 600

32–41 publications 991+

This scientist: 172 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

View publications distribution as a table

Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications	Scientists	This scientist
32–41	7
42–51	22
52–61	82
62–71	134
72–81	249
82–91	324
92–101	421
102–111	420
112–121	497
122–131	544
132–141	555
142–151	609
152–161	559
162–171	534
172–181	556	172
182–191	583
192–201	519
202–211	508
212–221	490
222–231	437
232–241	423
242–251	408
252–261	377
262–271	301
272–281	335
282–291	320
292–301	293
302–311	250
312–321	238
322–331	206
332–341	209
342–351	208
352–361	162
362–371	176
372–381	127
382–391	158
392–401	128
402–411	104
412–421	94
422–431	99
432–441	83
442–451	108
452–461	73
462–471	77
472–481	69
482–491	84
492–501	62
502–511	54
512–521	57
522–531	51
532–541	51
542–551	32
552–561	38
562–571	28
572–581	43
582–591	33
592–601	41
602–611	32
612–621	28
622–631	25
632–641	27
642–651	17
652–661	20
662–671	17
672–681	15
682–691	14
692–701	21
702–711	13
712–721	12
722–731	19
732–741	14
742–751	12
752–761	10
762–771	10
772–781	11
782–791	10
792–801	11
802–811	8
812–821	8
822–831	7
832–841	11
842–851	10
852–861	5
862–871	9
872–881	4
882–891	6
892–901	3
902–911	6
912–921	3
922–931	2
932–941	2
942–951	2
952–961	3
962–971	3
972–981	3
982–990	5
991+	100

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Chuhan Wu D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Chuhan Wu sits on this spectrum.

No. of scientists

200 400 600 800

30–31 D-Index 131+

This scientist: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

View D-Index distribution as a table

Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index	Scientists	This scientist
30–31	879
32–33	983
34–35	918
36–37	990
38–39	968
40–41	907
42–43	821	43
44–45	763
46–47	689
48–49	543
50–51	543
52–53	518
54–55	500
56–57	458
58–59	400
60–61	337
62–63	308
64–65	292
66–67	249
68–69	213
70–71	192
72–73	189
74–75	165
76–77	139
78–79	119
80–81	121
82–83	113
84–85	88
86–87	87
88–89	75
90–91	69
92–93	57
94–95	46
96–97	38
98–99	34
100–101	36
102–103	27
104–105	37
106–107	18
108–109	31
110–111	19
112–113	16
114–115	12
116–117	20
118–119	15
120–121	5
122–123	20
124–125	8
126–127	5
128–129	7
130	3
131+	98

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Best Publications

Communication-efficient federated learning via knowledge distillation

Unknown

478
Citations
MIND: A Large-scale Dataset for News Recommendation

Fangzhao Wu;Ying Qiao;Jiun-Hung Chen;Chuhan Wu

415
Citations
A federated graph neural network framework for privacy-preserving personalization

Unknown

386
Citations
Neural News Recommendation with Multi-Head Self-Attention.

Chuhan Wu;Fangzhao Wu;Suyu Ge;Tao Qi

322
Citations
Neural News Recommendation with Long- and Short-term User Representations

Mingxiao An;Fangzhao Wu;Chuhan Wu;Kun Zhang

311
Citations
NPA: Neural News Recommendation with Personalized Attention

Chuhan Wu;Fangzhao Wu;Mingxiao An;Jianqiang Huang

300
Citations
Neural News Recommendation with Attentive Multi-View Learning.

Chuhan Wu;Fangzhao Wu;Mingxiao An;Jianqiang Huang

272
Citations
Personalized News Recommendation: Methods and Challenges

Unknown

189
Citations
Empowering News Recommendation with Pre-trained Language Models

Chuhan Wu;Fangzhao Wu;Tao Qi;Yongfeng Huang

159
Citations
Privacy-Preserving News Recommendation Model Learning

Tao Qi;Fangzhao Wu;Chuhan Wu;Yongfeng Huang

136
Citations
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation.

Chuhan Wu;Fangzhao Wu;Yang Cao;Yongfeng Huang

130
Citations
A hybrid unsupervised method for aspect term and opinion target extraction

Chuhan Wu;Fangzhao Wu;Sixing Wu;Zhigang Yuan

122
Citations
How Can Recommender Systems Benefit from Large Language Models: A Survey

Unknown

117
Citations
Graph Enhanced Representation Learning for News Recommendation

Suyu Ge;Chuhan Wu;Fangzhao Wu;Tao Qi

96
Citations
Neural News Recommendation with Topic-Aware News Representation.

Chuhan Wu;Fangzhao Wu;Mingxiao An;Yongfeng Huang

85
Citations
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling

Unknown

81
Citations
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation

Tao Qi;Fangzhao Wu;Chuhan Wu;Peiru Yang

80
Citations
Neural Metaphor Detecting with CNN-LSTM Model

Chuhan Wu;Fangzhao Wu;Yubo Chen;Sixing Wu

75
Citations
Semi-supervised dimensional sentiment analysis with variational autoencoder

Chuhan Wu;Fangzhao Wu;Sixing Wu;Zhigang Yuan

74
Citations
THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning

Chuhan Wu;Fangzhao Wu;Sixing Wu;Junxin Liu

67
Citations