Baolin Peng publications per year

The chart shows the history of publications by Baolin Peng between 2013 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Baolin Peng published across 13 years, from 2013 to 2025, averaging 12 papers a year. Output peaked at 29 publications in 2020. 40 of the 156 publications appeared in the last two years.

No. of publications

5 10 15 20 25

2013 2025

156 publications in total across all disciplines

View publications per year as a table

Baolin Peng: publications per year, 2013 to 2025
Year	Publications
2013	1
2014	5
2015	14
2016	3
2017	6
2018	5
2019	6
2020	29
2021	15
2022	12
2023	20
2024	22
2025	18
Total	156

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Baolin Peng 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 Baolin Peng sits on this spectrum.

No. of scientists

200 400 600

32–41 publications 991+

This scientist: 132 publications — 19th percentile

19% 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	132
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
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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Baolin Peng 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 Baolin Peng sits on this spectrum.

No. of scientists

200 400 600 800

30–31 D-Index 131+

This scientist: 35 D-Index — 20th percentile

20% 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	35
36–37	990
38–39	968
40–41	907
42–43	821
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

An Introduction to Computational Networks and the Computational Network Toolkit

Dong Yu;Adam Eversole;Mike Seltzer;Kaisheng Yao

462
Citations
Instruction Tuning with GPT-4

Unknown

434
Citations
Spoken language understanding using long short-term memory neural networks

Kaisheng Yao;Baolin Peng;Yu Zhang;Dong Yu

381
Citations
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Unknown

292
Citations
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

Unknown

202
Citations
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning

Baolin Peng;Xiujun Li;Jianfeng Gao;Jingjing Liu

198
Citations
SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching

Baolin Peng;Chunyuan Li;Jinchao Li;Shahin Shayandeh

191
Citations
Few-shot Natural Language Generation for Task-Oriented Dialog

Baolin Peng;Chenguang Zhu;Chunyuan Li;Xiujun Li

190
Citations
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning

Baolin Peng;Xiujun Li;Lihong Li;Jianfeng Gao

184
Citations
Task-oriented Dialogue System for Automatic Diagnosis

Zhongyu Wei;Qianlong Liu;Baolin Peng;Huaixiao Tou

180
Citations
Recurrent conditional random field for language understanding

Kaisheng Yao;Baolin Peng;Geoffrey Zweig;Dong Yu

156
Citations
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space

Chunyuan Li;Xiang Gao;Yuan Li;Baolin Peng

139
Citations
Attention with Intention for a Neural Network Conversation Model

Unknown

136
Citations
SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model

Baolin Peng;Chunyuan Li;Jinchao Li;Shahin Shayandeh

129
Citations
SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching

Baolin Peng;Chunyuan Li;Jinchao Li;Shahin Shayandeh

100
Citations
Few-Shot Named Entity Recognition: An Empirical Baseline Study.

Jiaxin Huang;Chunyuan Li;Krishan Subudhi;Damien Jose

95
Citations
ConvLab: Multi-Domain End-to-End Dialog System Platform.

Sungjin Lee;Qi Zhu;Ryuichi Takanobu;Zheng Zhang

94
Citations
Explanations from Large Language Models Make Small Reasoners Better

Unknown

85
Citations
GODEL: Large-Scale Pre-Training for Goal-Directed Dialog

Unknown

83
Citations
Towards Neural Network-based Reasoning

Baolin Peng;Zhengdong Lu;Hang Li;Kam-Fai Wong

83
Citations