Yankai Lin publications per year

The chart shows the history of publications by Yankai Lin between 2013 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Yankai Lin published across 13 years, from 2013 to 2025, averaging 18.3 papers a year. Output peaked at 48 publications in 2023. 62 of the 238 publications appeared in the last two years.

No. of publications

10 20 30 40

2013 2025

238 publications in total across all disciplines

View publications per year as a table

Yankai Lin: publications per year, 2013 to 2025
Year	Publications
2013	1
2014	0
2015	3
2016	6
2017	3
2018	8
2019	16
2020	32
2021	38
2022	21
2023	48
2024	40
2025	22
Total	238

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Yankai Lin 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 Yankai Lin sits on this spectrum.

No. of scientists

200 400 600

32–41 publications 991+

This scientist: 223 publications — 54th percentile

54% 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
182–191	583
192–201	519
202–211	508
212–221	490
222–231	437	223
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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Yankai Lin 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 Yankai Lin 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

Learning entity and relation embeddings for knowledge graph completion

Yankai Lin;Zhiyuan Liu;Maosong Sun;Yang Liu

3898
Citations
Neural Relation Extraction with Selective Attention over Instances

Yankai Lin;Shiqi Shen;Zhiyuan Liu;Huanbo Luan

1094
Citations
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View

Deli Chen;Yankai Lin;Wei Li;Peng Li

1017
Citations
A survey on large language model based autonomous agents

Unknown

772
Citations
Modeling Relation Paths for Representation Learning of Knowledge Bases

Yankai Lin;Zhiyuan Liu;Huanbo Luan;Maosong Sun

648
Citations
DocRED: A Large-Scale Document-Level Relation Extraction Dataset.

Yuan Yao;Deming Ye;Peng Li;Xu Han

500
Citations
Neural Sentiment Classification with User and Product Attention

Huimin Chen;Maosong Sun;Cunchao Tu;Yankai Lin

356
Citations
OpenKE: An Open Toolkit for Knowledge Embedding

Xu Han;Shulin Cao;Xin Lv;Yankai Lin

351
Citations
A Survey on Large Language Model based Autonomous Agents

Unknown

218
Citations
Learning from Context or Names? An Empirical Study on Neural Relation Extraction

Hao Peng;Tianyu Gao;Xu Han;Yankai Lin

201
Citations
Coreferential Reasoning Learning for Language Representation

Deming Ye;Yankai Lin;Jiaju Du;Zhenghao Liu

178
Citations
Packed Levitated Marker for Entity and Relation Extraction

Unknown

176
Citations
Graph Neural Networks with Generated Parameters for Relation Extraction

Hao Zhu;Yankai Lin;Zhiyuan Liu;Jie Fu

161
Citations
Denoising Distantly Supervised Open-Domain Question Answering

Yankai Lin;Haozhe Ji;Zhiyuan Liu;Maosong Sun

160
Citations
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Unknown

151
Citations
MAVEN: A Massive General Domain Event Detection Dataset

Xiaozhi Wang;Ziqi Wang;Xu Han;Wangyi Jiang

142
Citations
Neural Relation Extraction with Multi-lingual Attention

Yankai Lin;Zhiyuan Liu;Maosong Sun

120
Citations
NumNet: Machine Reading Comprehension with Numerical Reasoning.

Qiu Ran;Yankai Lin;Peng Li;Jie Zhou

116
Citations
Tool Learning with Foundation Models

Unknown

109
Citations
On Transferability of Prompt Tuning for Natural Language Processing

Unknown

108
Citations